25 - 28 June, 2024

Stockholm | Sweden

25 - 28 June, 2024

Stockholm | Sweden

Workshops

To Be Announced.

Workshops

The European Control Conference offers pre-conference workshops addressing current and future topics in control systems from experts from academia, research institutes, and industry. Pre-conference workshops cover material or use presentation formats that are not found within the main conference to increase the interest for the event, enhance interaction and discussion amongst participants, and make useful connections to fields outside of control.

ecc24 workshops will be held at the conference venue June 25th, 2024 (full day), the day before the official opening of the conference. Advanced registration for pre-conference workshops can be done online via the conference registration system. 

Please note that you can register for only one workshop, since all workshops take place simultaneously. Recordings of workshops will not normally be made. Information about the costs of attending a pre-conference workshop and how to register is available on the conference registration page.

More information about the specific workshops hosted will be announced later. For further information contact the conference Workshops Chair, prof. Florian Dörfler.

Workshops

The European Control Conference offers pre-conference workshops addressing current and future topics in control systems from experts from academia, research institutes, and industry. Pre-conference workshops cover material or use presentation formats that are not found within the main conference to increase the interest for the event, enhance interaction and discussion amongst participants, and make useful connections to fields outside of control.

ECC24 workshops will be held at the conference venue June 25th, 2024 (full day), the day before the official opening of the conference. Advanced registration for pre-conference workshops can be done online via the conference registration system. 

Please note that you can register for only one workshop, since all workshops take place simultaneously. Recordings of workshops will not normally be made. Information about the costs of attending a pre-conference workshop and how to register is available on the conference registration page.

The following workshops are hosted at ECC24:

  1. Multi-agent learning and control: recent advances and open problems
  2. Control Design in Soft-Robotics: from Model-free to Model-based
  3. Task and Motion Coordination under Geometric, Dynamic and Temporal Constraints
  4. Neural network control with stability and performance guarantees
  5. Physics-Informed Learning in Control
  6. Scalable Control of Interconnected Systems: a Celebration of Anders Rantzer’s 60th Birthday
  7. Advanced sensory-based estimation and control of autonomous vehicles: From theory to practice
  8. Data-Driven Verification and Control with Provable Guarantees
  9. Modular Approaches for Design and Verification in Autonomous Driving
  10. Geometric Observers on Manifolds and Lie-Groups
  11. 6th Workshop on Autonomous, Connected and Electrified Mobility Systems: Humans in the Loop?
  12. Control with 6G
  13. Exploring cyber-physical-human systems through Living laboratories
  14. Navigating uncertainty: online multi-agent control, optimization and learning
  15. When Bayesian optimization meets real-time control
  16. A System-Theoretic Perspective of Automotive Cybersecurity

For further information contact the conference Workshops Chair, prof. Florian Dörfler.

List of workshops

Workshop 1

Title: Multi-agent learning and control: recent advances and open problems

Organizers: Maryam Kamgarpour & Lacra Pavel

Abstract: The safe and efficient operation of many large-scale systems, such as power systems, transportation networks and robotics, relies on the decision making of multiple interacting agents. Game theory is recognized as a common approach to model, analyze and design controllers for multi-agent systems. Despite significant advances in the field of game theory for multi-agent control, the field is still flourishing, and many questions remain open. The open questions have been receiving a fresh surge of interest, given the theoretical and practical successes in data-driven and learning-based control. This workshop brings together experts on multi-agent learning and control, addressing the problems from different theoretical angles. The specific aims of the workshop are to 1) highlight state-of-the-art advances in multi-agent learning and control; and to 2) sketch the open challenges in the field for researchers in the control community.

 

Workshop 2

Title: Control Design in Soft-Robotics: from Model-free to Model-based

Organizers: Erica Salvato, Cosimo Della Santina, & Martina Mammarella

Abstract: From the 80s, classic robotics directed its focus toward rigid structures, playing a pivotal role in shaping the course of nonlinear control theory research. However, recent advancements are reshaping the landscape of robotics, introducing soft robots: particular kinds of robots characterized by elastic elements that faithfully emulate biological systems. The complexity of soft robots’ dynamics and their fragility introduce modeling challenges, leading to a reliance on machine-learning for control. Nevertheless, a noteworthy recent trend is veering towards model-based control strategies to meet the demand for analytical performance guarantees.

The goal of this workshop is to provide a comprehensive overview of the current trends in designing control schemes for applications involving soft robots, encompassing both model-based and model-free control strategies. The objective is to target real-world applications and challenging case studies, analyzing the strengths and limitations of both, and possibly assessing the improvements achievable by their synergic combination. Indeed, as presented in the recent special issue “Control Challenges in Soft Robotics” (hosted by the IEEE CSS Magazine), soft robotics can open up several intriguing questions that can fuel research in control theory. The full-day workshop will include seven talks, four in the morning to delve into theoretical advances, and three in the afternoon mainly focused on application aspects. The workshop is intended for Ph.D. students, researchers, engineers, companies, and practitioners who share an interest in control and automation within the domain of soft robotics. With this initiative, we aspire to establish an inclusive platform for engaging in open discussions with key stakeholders.

 

Workshop 3

Title: Task and Motion Coordination under Geometric, Dynamic and Temporal Constraints

Organizers: Meng Guo & Siyuan Liu

Abstract: Fleets of heterogeneous robots, such as ground vehicles and aerial vehicles, are deployed to accomplish tasks that are otherwise too inefficient or even infeasible for a single robot. Not only the overall efficiency of the team can be significantly improved by allowing the robots to move and act; but also the capabilities of the team can be greatly extended by enabling multiple robots to directly collaborate on a task. However, their task and motion coordination is often subject to various constraints, including geometric constraints from the workspace; dynamic constraints from the robot model; and temporal constraints from the task specifications. How to address these constraints in a safe, efficient and real-time way remains an active and challenging research area. This workspace aims to bring experts in related domain (from both control and robotics background) together to brain-storm about these topics.

 

Workshop 4

Title: Neural network control with stability and performance guarantees

Organizers: Giancarlo Ferrari-Trecate, Marcello Farina, Alessio La Bella, Luca Furieri, Leonardo Massai, & Danilo Saccani

Abstract: The emphasis of the workshop is to ensure closed-loop guarantees, such as stability and performance, in control approaches based on Neural Network (NN) policies. These guarantees are crucial as NNs become more integrated into control engineering, raising concerns about their reliability and predictability during and after training. The workshop first delves into innovative methodologies for designing NN controllers with stability guarantees through Linear Matrix Inequalities (LMI), highlighting the opportunities and challenges in their implementation. The second part of the workshop focuses on scalable methods and unconstrained optimization approaches for learning NN controllers that are guaranteed to maintain closed-loop properties during the training phase, with a focus on various kinds of closed-loop stability and distributed scenarios. The envisioned outcome of the workshop is for participants to gain insights into merging advanced machine learning techniques with traditional control systems. A final session and discussion will highlight open challenges and promising research directions in the field.

 

Workshop 5

Title: Physics-Informed Learning in Control

Organizers: Nicola Bastianello, Matthieu Barreau, Amritam Das, & Kateryna Morozovska

Abstract: Physics-informed learning was proposed in recent years to combine data-driven techniques, such as neural networks, with the insights of dynamical systems theory. This hybrid approach benefits from the best of both worlds, with the generalization capabilities of learning methods being underpinned by sound theoretical results. Physics-informed learning has proved to be promising in a wide range of applications, including control. This workshop thus aims at solidifying its role for control by collecting different perspectives on the topic. The speakers of this workshop will present new advancements in research on physics-informed learning, showcasing its application from robotics to system identification to power grids. The workshop will consist of five keynote talks from established researchers, and two shorter talks that offer application perspectives.

 

Workshop 6

Title: Scalable Control of Interconnected Systems: a Celebration of Anders Rantzer’s 60th Birthday

Organizers: Tryphon T. Georgiou, Karl H. Johansson, Mikael Johansson, & Henrik Sandberg

Abstract: Modern society is dependent on large-scale networks for critical services such as energy supply, transportation, and communications. The design and control of these networks is becoming increasingly complex due to their expanding size, increasing heterogeneity, and advancing autonomy. A systematic theory and methodology for control of these systems is therefore needed. This workshop aims to be an inspirational forum for innovative ideas on rigorous control synthesis, adaption, and verification of large interconnected systems. It will feature a series of expert talks, encompassing architectures, information flows and incentives in networked systems; scalable system theory and control synthesis frameworks for interconnected systems; and adaptive and learning-based control system design in dynamically evolving networks. The workshop is set to spark interdisciplinary dialogue, aiming to bridge the gap between different perspectives in scalable control, adaptive systems, and machine learning.

 

Workshop 7

Title: Advanced sensory-based estimation and control of autonomous vehicles: From theory to practice

Organizers: Zhiqi Tang, Zhiyong Sun, & Baris Fidan

Abstract: We propose a one-day workshop mainly devoted to the latest advancements in sensory-based estimation and control for unmanned systems, particularly emphasizing the demand for computationally efficient algorithms backed by formal performance guarantees for operations in real-world scenarios. For this purpose, we bring together outstanding researchers from leading institutions and industries worldwide to provide a comprehensive overview of cutting-edge developments in the field. The intended audience for this workshop includes graduate-level scientists and engineers specializing in control and robotics.

 

Workshop 8

Title: Data-Driven Verification and Control with Provable Guarantees

Organizers: Abolfazl Lavaei, Alessandro Abate, Antonella Ferrara, Antoine Girard, & Colin N. Jones

Abstract: Formal verification and controller synthesis for dynamical systems have garnered remarkable attention over the past two decades, driven by their extensive applications in safety-critical systems. While these formal approaches have become indispensable across numerous applications, they often necessitate closed-form mathematical models of dynamical systems. However, these models might either be unavailable or too complex to be constructed in real-world scenarios. Hence, the use of data-driven techniques becomes essential in enabling formal analysis for systems with unknown dynamics.

Over the past decade, several data-driven techniques have been proposed for the formal verification and controller synthesis of unknown dynamical systems. One may classify them in two types: the indirect and direct approaches. More specifically, indirect data-driven techniques are those which leverage system identification to learn approximate models of unknown systems, followed by model-based controller analysis approaches. In comparison, direct data-driven techniques are those that bypass the system identification phase and directly employ system measurements for the verification and controller design of unknown systems.

In this workshop, we bring together a number of researchers active in the area of data-driven verification and control with provable guarantees. Along with cherishing the exchange of ideas between researchers in the field, by gathering a number of key talks we aim to achieve the following goals for the audience attending the workshop:
– Provide to the researchers new to these topics an updated view of the state of the art on data-driven verification and control including indirect and direct data-driven techniques.
– Discuss scalable directions and areas to mitigate the, so-called, sample complexity.
– Suggest novel applications of these data-driven techniques.

Additionally, we hope the active discussions of the participants will lead to fruitful collaborations.

 

Workshop 9

Title: Modular Approaches for Design and Verification in Autonomous Driving

Organizers: Bart Besselink, Adam Molin, Hasan Esen, & Necmiye Ozay

Abstract: Autonomous driving has great potential for increased safety, efficiency, and sustainability of road transport, but the design and verification of autonomous systems is hindered by the large-scale heterogeneous nature of these systems. This workshop aims to bring together researchers from industry and academia with an interest in systems engineering for autonomous systems and focuses on component-based approaches for design and verification.

 

Workshop 10

Title: Geometric Observers on Manifolds and Lie-Groups

Organizers: Robert Mahony, Pieter van Goor, & Tarek Hamel

Abstract: This full-day workshop aims to introduce innovative concepts and solutions for sensor fusion in robotics. The main focus will be on developing computationally tractable state observer algorithms tailored for specific classes of nonlinear systems in which the state forms a homogeneous space for a known Lie group. Many autonomous robots can be modeled this way due to the symmetry of the physical laws that underpin their dynamics. This workshop brings together distinguished senior and emerging researchers from leading institutions worldwide. The intended audience includes graduate-level control theorists, roboticists, engineers, and researchers interested in nonlinear observer design, whether from a theoretical or application perspective.

 

Workshop 11

Title: 6th Workshop on Autonomous, Connected and Electrified Mobility Systems: Humans in the Loop?

Organizers: Raphael Stern & Mauro Salazar

Abstract: Public debate about the future of mobility and transportation is increasingly informed by predictions about the impact of Automation, Connectivity, and Electrification (ACE), yet many other opportunities remain to design mobility systems that serve users and provide safe and efficient mobility. As potentially disruptive technologies are approaching market-readiness and are beginning to be deployed, there are still several socio-technical challenges to be addressed, which may require different narratives and paradigms from the status quo.

This workshop will gather experts from control systems, transportation, mechanical engineering, robotics, and social science in order to:
1. identify challenges and opportunities in integrating different modalities (e.g., pedestrians, bicycles, etc.) and technologies (ACE) into future transportation systems,
2. identify modeling and control methodologies to address them,
3. share insights from early deployments and turn such insights into an actionable research roadmap.

 

Workshop 12

Title: Control with 6G

Organizers: José Araujo & Alf J. Isaksson

Abstract: Control systems are becoming increasingly complex and networked. This complexity has spun the development of new data-driven and learning methods, which are computationally expensive and operate on data collected by many agents, requiring greater cloud computing resources. By extending the capabilities of today’s 5G mobile networks, work towards a future 6G mobile network standard has started that can provide dependable accessibility to both nearby network compute resources and datacenter resources at its core. While there are opportunities to further exploit the use of 6G in control systems and influence the design of 6G to better address control requirements, 6G-enabled control systems provide new technical challenges that are not well understood nowadays: how to cloudify and deploy control algorithms in cloud environments, how to make the 6G network programmable to control needs, how to jointly co-design control, communication and compute systems. The event will consist of two 20-minute presentations from leading companies on relevant network control applications, three 40-minutes presentations from various leading researchers active in the topic and a visit to 5G network control demonstrators at KTH’s campus. The goal of this workshop is to introduce the challenge of 6G-based control systems to the community and enable the opportunity for control and communication researchers in both academia and industry to connect. The discussions will be aimed at the control community, introducing core 6G aspects and opportunities to the control community. The day will end with a panel discussion on the future directions of the topic.

 

Workshop 13

Title: Exploring cyber-physical-human systems through Living laboratories

Organizers: Angela Fontan, Mahsa Farjadnia, Varsha Naresh Behrunani, Marco Molinari, Benjamin Sawicki, & Philipp Heer

Abstract: It is well-known that the building sector is crucial for sustainability and energy policy, and at the same time it has become clear that building occupants are an increasingly critical factor in the research focused on building automation. To achieve a balance between comfort and efficiency, it is essential to establish synergies between building design, building climate control, and occupants’ or citizens’ needs, effectively modeling buildings as cyber-physical-human systems (CPHS). A key site of application of this research is living laboratories, where new technologies can be designed and tested to ensure the sustainability of the built environment. Although the concept of living laboratories is widely adopted, their use by academia remains limited and the industry-academia collaborations within the control research community have been challenging. This workshop aims to bring together experts from the control, energy, and building systems communities, to: i) Identify the present status of building demonstrators and living laboratories; ii) Identify research challenges and opportunities in connection with living laboratories, and discuss methodologies to address them; iii) Encourage interest towards building demonstrators, through interactive sessions and a visit to the KTH Live-in Lab.

 

Workshop 14

Title: Navigating uncertainty: online multi-agent control, optimization and learning

Organizers: Mattia Bianchi, Nicola Bastianello, & Florian Dörfler

Abstract: Over the last decades, there has been a growing imperative to guarantee the efficient operation of large networked systems connecting multiple intelligent agents, such as communication networks, peer-to- peer energy markets, smart cities, social networks. Achieving a desired emerging behavior requires effective coordination among the agents. This is an arduous task, especially in scenarios characterized by limited communication capabilities and by dynamic or unpredictable environments – virtually, every modern multi-agent application. Multi-agent control, optimization and learning are the essential tools for enabling the robust and efficient functioning of such complex networks, in the face of uncertainty and mutability.

This workshop aims to provide insight into recent advances in multi-agent control, optimization and learning in online and uncertain scenarios, and to spotlight some crucial open challenges and opportunities for application in real-life engineering systems. The workshop will feature keynote talks from leading researchers in the field, and is accessible to an audience from graduate students to senior researchers, as well as practitioners in control engineering. The goal is to provide a platform for sharing and discussing cutting-edge advancements in these areas and identifying exciting research avenues, through collaborative engagement and interdisciplinary discussions.

 

Workshop 15

Title: When Bayesian optimization meets real-time control

Organizers: Yuning Jiang, Dinesh Krishnamoorthy, Wenjie Xu, & Colin N. Jones

Abstract: Real-time control systems are pivotal in a myriad of sectors, including manufacturing, transportation, robotics, energy, and process systems, playing a crucial role in facilitating effective decision-making and coordination. The challenge lies in designing control systems that are both optimal and efficient, a task complicated by the inherent complexity and uncertainty of the processes involved. Bayesian Optimization (BO) emerges as a potent solution to these challenges. As a sophisticated black-box optimization technique, BO offers a data-efficient and potent strategy for optimizing control systems in real time. As such, there is a growing interest in Bayesian optimization within the control community.

This tutorial workshop aims to provide participants with a comprehensive understanding of Bayesian optimization and its applications in real-time control and optimization. The workshop will cover the theoretical foundations of Bayesian optimization, including Gaussian processes and acquisition functions. Furthermore, the workshop will present cutting-edge research in Bayesian Optimization tailored for real-time control, encompassing constrained Bayesian optimization, safe Bayesian optimization, BO for high-dimensional and time-varying problems, and multi-agent Bayesian optimization. The workshop will also showcase the use of BO in a broad range of application areas, including robotics, race cars, process control, digital health, and manufacturing systems.

This workshop is designed for researchers, practitioners, and graduate students in the fields of control engineering, optimization, and machine learning, offering them an opportunity to deepen their understanding and skills in these areas. No prior familiarity with Bayesian Optimization or Gaussian Processes is necessary for participation.

 

Workshop 16

Title: A System-Theoretic Perspective of Automotive Cybersecurity

Organizers: Mohammad Pirani & Ehsan Nekouei

Abstract: Advancements in embedded systems, sensor technologies, communication devices, and artificial intelligence have resulted in vehicles that are pervasively monitored by dozens of digital computing units coordinated via internal vehicular communication networks. While this evolution in vehicle connectivity has propelled major advancements in driving efficiency, it has also introduced a new range of potential risks, including the unwanted access of third parties with malicious motives which can endanger driving safety. For instance, it has been experimentally demonstrated that bypassing the security mechanisms of a vehicle is not difficult for attackers. Moreover, attackers can also completely erase any evidence of their presence. Such incidents have resulted in serious concerns about the security of their vehicles, without which vehicle autonomy and connectivity will not gain society’s acceptance. Despite recent progress in vehicle security, there is still no clear solution to address the safety of vehicles specifically when attackers manage to access the vehicle control system, i.e., the last defense line after which the vehicle motion is affected by the attack.

The European Control Conference, one of the leading annual assemblies of systems and control researchers, serves as an ideal platform for addressing the critical topic of automotive cybersecurity from a systems and control perspective. This workshop’s objective is to spotlight the challenges within this domain and introduce recent tools and methodologies designed to prevent, detect, and mitigate adversarial actions within vehicle systems.

The European Control Conference offers pre-conference workshops addressing current and future topics in control systems from experts from academia, research institutes, and industry. Pre-conference workshops cover material or use presentation formats that are not found within the main conference to increase the interest for the event, enhance interaction and discussion amongst participants, and make useful connections to fields outside of control.

ecc24 workshops will be held at the conference venue June 25th, 2019, the day before the official opening of the conference. Advanced registration for pre-conference workshops can be done online via the conference registration system. Please note that workshops are: (a) subject to cancellation for lack of registrants, and (b) allow a maximum number of participants. The costs of attending a pre-conference workshop are: €100 for each full registrant; €60 for each student registrant. Conference registration is a prerequisite for registering at a pre-conference workshop.

List of workshops is reported below. For further information contact the conference Workshops Chair, prof. Jacquelien Scherpen.

ecc24 will host the following five workshops.

  1. Date – Workshop Title 1
  2. Date – Workshop Title 2
  3. Date – Workshop Title 3
  4. Date – Workshop Title 4
  5. Date – Workshop Title 5

Workshop 1 – Multi-agent learning and control: recent advances and open problems

Date & Time:

June 25th

Location:

To be announced

Organizers:

Maryam Kamgarpour
Lacra Pavel

Abstract:

The safe and efficient operation of many large-scale systems, such as power systems, transportation networks and robotics, relies on the decision making of multiple interacting agents. Game theory is recognized as a common approach to model, analyze and design controllers for multi-agent systems. Despite significant advances in the field of game theory for multi-agent control, the field is still flourishing, and many questions remain open. The open questions have been receiving a fresh surge of interest, given the theoretical and practical successes in data-driven and learning-based control. This workshop brings together experts on multi-agent learning and control, addressing the problems from different theoretical angles. The specific aims of the workshop are to 1) highlight state-of-the-art advances in multi-agent learning and control; and to 2) sketch the open challenges in the field for researchers in the control community.

Program:

The detailed program of the workshop is available here.

Workshop 2 – Control Design in Soft-Robotics: from Model-free to Model-based

Date & Time:

June 25th

Location:

To be announced

Organizers:

Erica Salvato
Cosimo Della Santina
Martina Mammarella

Abstract:

In recent years, robotics has undergone a remarkable evolution, with a distinct trend towards the development of biologically-inspired robotic systems, commonly referred to as “soft robots”. These systems integrate elastic elements and properties into traditional rigid-body structures, mirroring the performance observed in the natural world. This is reflected into a new era of robotics, characterized by increased flexibility and adaptability, making these robots more suitable for a wider range of applications, e.g., search and rescue missions, complex medical procedures, underwater exploration, and environmental pollution monitoring.

The goal of this workshop is to provide a comprehensive exploration of current trends in the design of tailored control schemes for soft robots, encompassing both model-based and model-free control strategies. Focusing on real-world applications and challenging case studies, the workshop seeks to analyze the strengths and limitations of some of the most promising approaches, also examining potential improvements that can be achieved through their synergistic integration.

The workshop is intended for Ph.D. students, researchers, engineers, companies, and prac- titioners who share an interest in control and automation within the domain of soft robotics. With this initiative, the organizers aspire to establish an inclusive platform for engaging in open discussions with key stakeholders.

Program:

The detailed program of the workshop is available here.

Workshop 3 – Task and Motion Coordination under Geometric, Dynamic and Temporal Constraints

Date & Time:

June 25th

Location:

To be announced

Organizers:

Meng Guo
Siyuan Liu

Abstract:

Fleets of heterogeneous robots, such as ground vehicles and aerial vehicles, are deployed to accomplish tasks that are otherwise too inefficient or even infeasible for a single robot. Not only the overall efficiency of the team can be significantly improved by allowing the robots to move and act concurently; but also, the capabilities of the team can be greatly extended by enabling multiple robots to directly collaborate on a task. The former refers to task coordination, while the latter as motion coordination. In addition to their respective complexities, these two aspects are closely coupled and dependent, yielding it even more challenging to coordinate task and motion simultaneously. Moreover, their task and motion coordination are often subject to various constraints, including geometric constraints from the workspace; dynamic constraints from the robot model; and temporal constraints from the task specifications. How to address these constraints in a safe, efficient and real-time way remains an active and attractive research area. This workshop aims to bring experts in related domains (from both control and robotics backgrounds) together to brainstorm about these topics.

Program:

The detailed program of the workshop is available here.

Workshop 4 – Neural network control with stability and performance guarantees

Date & Time:

June 25th

Location:

To be announced

Organizers:

Giancarlo Ferrari-Trecate
Marcello Farina
Alessio La Bella
Luca Furieri
Leonardo Massai
Danilo Saccani

Abstract:

The workshop deals with novel design methods allowing us to ensure closed-loop guarantees, such as stability and performance, in control approaches based on Neural Network (NN) policies. These guarantees are crucial as NNs become more and more integrated into control engineering, raising concerns about their reliability and predictability during and after training. The workshop is composed of two modules, focusing on related approaches in NN-based control design.
The first module, structured in three talks, delves into innovative methodologies for designing NN-based controllers with stability guarantees through Linear Matrix Inequalities (LMI), highlighting the opportunities and challenges in their implementation.

The second part of the workshop, also structured in three talks, focuses on scalable methods and unconstrained optimization approaches for learning NN-based controllers that are guaranteed to maintain closed-loop properties during the training phase, with a focus on various kinds of closed-loop stability and distributed scenarios.

The envisioned outcome of the workshop is for participants to gain insights into merging advanced machine learning techniques with traditional control systems. A final session and discussion will highlight open challenges and promising research directions in the field.

Program:

The detailed program of the workshop is available here.

Workshop 5 – Physics-Informed Learning in Control

Date & Time:

June 25th

Location:

To be announced

Organizers:

Nicola Bastianello
Matthieu Barreau
Amritam Das
Kateryna Morozovska

Abstract:

Physics-informed learning was proposed in recent years to combine data-driven techniques, such as neural networks, with the insights of dynamical systems theory. This hybrid approach benefits from the best of both worlds, with the generalization capabilities of learning methods being underpinned by sound theoretical results. Physics-informed learning has proved to be promising in a wide range of applications, including control. This workshop thus aims at solidifying its role for control by collecting different perspectives on the topic. The speakers of this workshop will present new advancements in research on physics-informed learning, showcasing its application from robotics to system identification to power grids. The workshop will consist of five keynote talks from established researchers, and two shorter talks that offer application perspectives.

Workshop 6 – Scalable Control of Interconnected Systems: a Celebration of Anders Rantzer’s 60th Birthday

Date & Time:

June 25th

Location:

To be announced

Organizers:

Tryphon T. Georgiou
Karl H. Johansson
Mikael Johansson
Henrik Sandberg

Abstract:

Modern society is dependent on large-scale networks for critical services such as energy supply, transportation, and communications. The design and control of these networks is becoming increasingly complex due to their expanding size, increasing heterogeneity, and advancing autonomy. A systematic theory and methodology for control of these systems is therefore needed. This workshop aims to be an inspirational forum for innovative ideas on rigorous control synthesis, adaption, and verification of large interconnected systems. It will feature a series of expert talks, encompassing architectures, information flows and incentives in networked systems; scalable system theory and control synthesis frameworks for interconnected systems; and adaptive and learning-based control system design in dynamically evolving networks. The workshop is set to spark interdisciplinary dialogue, aiming to bridge the gap between different perspectives in scalable control, adaptive systems, and machine learning.

Workshop 7 – Advanced sensory-based estimation and control of autonomous vehicles: From theory to practice

Date & Time:

June 25th

Location:

To be announced

Organizers:

Zhiqi Tang
Zhiyong Sun
Baris Fidan

Abstract:

Recent decades have witnessed the rapid expansion of autonomous vehicle systems. Ground, aerial, marine surface, and underwater autonomous vehicles hold great promise as indispensable tools for delving into hazardous territories, augmenting human sensory and manipulation capabilities, and embarking on explorations of vast terrains that would otherwise remain inaccessible to human navigation. While academic efforts concerning the control of autonomous vehicles have witnessed significant expansion in recent years, a considerable disparity still exists between their capabilities and what real-world scenarios demand. Robust and computationally efficient controllers and estimation algorithms must be designed based on onboard exteroceptive sensors (e.g., vision, acoustic sensors, laser range finders), under which each vehicle can interact safely with neighbor vehicles and the surrounding environment. However, Documented results for controlling robotic vehicles relying on onboard exteroceptive sensors either provide solutions only for ad-hoc scenarios or rely on large-scale simulations and field tests, lacking a unified and computationally efficient algorithm to ensure safe navigation in broader circumstances.

We propose a one-day workshop mainly devoted to the latest advancements in sensory-based estimation and control for unmanned systems, particularly emphasizing the demand for computationally efficient algorithms backed by formal performance guarantees for operations in real-world scenarios. For this purpose, we bring together experts in robotics and control to present the key topics on navigation and control of single vehicles, cooperative estimation and control of multiple vehicles, and reactive multi-vehicle collision avoidance, with applications on actual robotic vehicles. The proposed workshop will expose attendees to cutting-edge research in the field, with an eye on both theory and applications, providing graduate-level scientists and engineers new to the field insight into the challenges of designing computationally efficient algorithms with theoretical and performance guarantees for autonomous vehicles navigating in dynamic, unknown, and congested real-world environments. Furthermore, the workshop seeks to foster research collaborations between Control and Robotics communities, bridging the gap between theoretical advancements and their practical implementation.

Program:

The detailed program of the workshop is available here.

Workshop 8 – Data-Driven Verification and Control with Provable Guarantees

Date & Time:

June 25th

Location:

To be announced

Organizers:

Abolfazl Lavaei
Alessandro Abate
Antonella Ferrara
Antoine Girard
Colin N. Jones

Abstract:

Formal verification and controller synthesis for dynamical systems have garnered remarkable attention over the past two decades, driven by their extensive applications in safety-critical systems. While these formal approaches have become indispensable across numerous applications, they often necessitate closed-form mathematical models of dynamical systems. However, these models might either be unavailable or too complex to be constructed in real-world scenarios. Hence, the use of data-driven techniques becomes essential in enabling formal analysis for systems with unknown dynamics.

Over the past decade, several data-driven techniques have been proposed for the formal verification and controller synthesis of unknown dynamical systems. One may classify them in two types: the indirect and direct approaches. More specifically, indirect data-driven techniques are those which leverage system identification to learn approximate models of unknown systems, followed by model-based controller analysis approaches. In comparison, direct data-driven techniques are those that bypass the system identification phase and directly employ system measurements for the verification and controller design of unknown systems.
In this workshop, we bring together a number of researchers active in the area of data-driven verification and control with provable guarantees. Along with cherishing the exchange of ideas between researchers in the field, by gathering a number of key talks we aim to achieve the following goals for the audience attending the workshop:

  • Provide to the researchers new to these topics an updated view of the state of the art on data-driven verification and control including indirect and direct data-driven techniques.
  • Discuss scalable directions and areas to mitigate the, so-called, sample complexity.
  • Suggest novel applications of these data-driven techniques.
  • Additionally, we hope the active discussions of the participants will lead to fruitful collaborations.

Program:

The detailed program of the workshop is available here.

Workshop 9 – Modular Approaches for Design and Verification in Autonomous Driving

Date & Time:

June 25th

Location:

To be announced

Organizers:

Bart Besselink
Adam Molin
Hasan Esen
Necmiye Ozay

Abstract:

Advances in autonomous driving have great potential for increased safety,
efficiency, and sustainability of road transport. Despite successes in this
domain, ranging from advanced driver assistance systems to autonomous
driving on public roads, various challenges remain: these include the
definition and expression of relevant specifications, as well as the design
and verification of such autonomous systems. A key bottleneck is the
large-scale heterogeneous nature of autonomous systems, comprising the
integration of a large number of diverse components such as sensors,
actuators, computing hardware, and software for perception, planning, and
control.

As this complexity prohibits monolithic design and verification, this
workshop focuses on systems engineering for autonomous driving with a
particular emphases on modular approaches. Modular approaches have in common
that they consider system components individually, i.e., without requiring
knowledge of the full integrated system, and thereby enable the design and
verification of systems that are simultaneously of large scale and subject
to complex specifications. Recent years have witnesses the development of
theoretical frameworks supporting this modularity, of which assume/guarantee
contracts are a key example. This workshop will discuss such component-based
methods.

The main goal of this workshop is to bring together researchers from
academia and industry to discuss the challenges in autonomous system design,
share recent developments in component-based methodologies for design and
verification, and exchange ideas on topics including system engineering,
(software) verification, and modularity. Aiming to strengthen the
connections between industry and academia, the workshop includes speakers
from both industry and academia and will be closed with a panel discussion.
The workshop will be accessible for interested ECC participants and does not
assume prior expert knowledge.

Program:

The detailed program of the workshop is available here.

Workshop 10 – Geometric Observers on Manifolds and Lie-Groups

Date & Time:

June 25th

Location:

To be announced

Organizers:

Robert Mahony
Pieter van Goor
Tarek Hamel

Abstract:

This full-day workshop aims to introduce innovative concepts and solutions for sensor fusion in robotics. The main focus will be on developing computationally tractable state observer algorithms tailored for specific classes of nonlinear systems in which the state forms a homogeneous space for a known Lie group. Many autonomous robots can be modeled this way due to the symmetry of the physical laws that underpin their dynamics. This workshop brings together distinguished senior and emerging researchers from leading institutions worldwide. The intended audience includes graduate-level control theorists, roboticists, engineers, and researchers interested in nonlinear observer design, whether from a theoretical or application perspective.

This workshop focuses primarily on the key foundations of invariant and equivariant observer design frameworks. It offers a practical introduction to the field, emphasizing the application of Equivariant Systems Theory in systems and control. Participants will gain valuable insight into how to design observers and filters by leveraging the symmetry properties of systems. The objective is to demystify the equivariant observer design framework by applying sound engineering principles. Throughout the workshop, we will examine various case studies drawn from aerial robotic applications, including attitude estimation, velocity-aided attitude estimation, pose estimation, homography estimation, SLAM, and visual odometry. Through these examples, participants will develop a deep understanding of the potential of exploiting symmetries in filtering and state estimation within real-world robotic contexts.

Abstract:

The detailed program of the workshop is available here.

Workshop 11 – 6th Workshop on Autonomous, Connected and Electrified Mobility Systems: Humans in the Loop?

Date & Time:

June 25th

Location:

To be announced

Organizers:

Raphael Stern
Mauro Salazar

Abstract:

Public debate about the future of mobility and transportation is increasingly informed by predictions about the impact of Automation, Connectivity, and Electrification (ACE), yet many other opportunities remain to design mobility systems that serve users and provide safe and efficient mobility. As potentially disruptive technologies are approaching market-readiness and are beginning to be deployed, there are still several socio-technical challenges to be addressed, which may require different narratives and paradigms from the status quo.

This workshop will gather experts from control systems, transportation, mechanical engineering, robotics, and social science in order to:

  1.  identify challenges and opportunities in integrating different modalities (e.g., pedestrians, bicycles, etc.) and technologies (ACE) into future transportation systems,
  2. identify modeling and control methodologies to address them,
  3. share insights from early deployments and turn such insights into an actionable research roadmap.

Workshop 12 – Control with 6G

Date & Time:

June 25th

Location:

To be announced

Organizers:

José Araujo
Alf Isaksson
Joachim Sachs
Leefke Grosjean

Abstract:

Control systems are becoming increasingly complex and networked. This complexity has spun the development of new data-driven and learning methods, which are computationally expensive and operate on data collected by many agents, requiring greater cloud computing resources. By extending the capabilities of today’s 5G mobile networks, work towards a future 6G mobile network standard has started that can provide dependable accessibility to both nearby network compute resources and datacenter resources at its core. While there are opportunities to further exploit the use of 6G in control systems and influence the design of 6G to better address control requirements, 6G-enabled control systems provide new technical challenges that are not well understood nowadays: how to cloudify and deploy control algorithms in cloud environments, how to make the 6G network programmable to control needs, how to jointly co-design control, communication and compute systems. The event will consist of five 40-minutes presentations from various leading researchers active in the topic, two 20-minute presentations from leading companies on relevant network control applications, and a visit to 5G network control demonstrators at KTH’s campus. The goal of this workshop is to introduce the challenge of 6G-based control systems to the community and enable the opportunity for control and communication researchers in both academia and industry to connect. The discussions will be aimed at the control community, introducing core 6G aspects and opportunities to the control community. The day will end with a panel discussion on the future directions of the topic.

Program:

The detailed program of the workshop is available here.

Workshop 13 – Exploring cyber-physical-human systems through Living laboratories

Date & Time:

June 25th

Location:

To be announced

Organizers:

Angela Fontan
Mahsa Farjadnia
Varsha Naresh Behrunani
Marco Molinari
Benjamin Sawicki
Philipp Heer

Abstract:

It is well-known that the building sector is crucial for sustainability and energy policy, and at the same time it has become clear that building occupants are an increasingly critical factor in the research focused on building automation. To achieve a balance between comfort and efficiency, it is essential to establish synergies between building design, building climate control, and occupants’ or citizens’ needs, effectively modeling buildings as cyber-physical-human systems (CPHS). A key site of application of this research is living laboratories, where new technologies can be designed and tested to ensure the sustainability of the built environment. Although the concept of living laboratories is widely adopted, their use by academia remains limited and the industry-academia collaborations within the control research community have been challenging. This workshop aims to bring together experts from the control, energy, and building systems communities, to: i) Identify the present status of building demonstrators and living laboratories; ii) Identify research challenges and opportunities in connection with living laboratories, and discuss methodologies to address them; iii) Encourage interest towards building demonstrators, through interactive sessions and a visit to the KTH Live-in Lab.

Program:

The detailed program of the workshop is available here.

Workshop 14 – Navigating uncertainty: online multi-agent control, optimization and learning

Date & Time:

June 25th

Location:

To be announced

Organizers:

Mattia Bianchi
Nicola Bastianello
Florian Dörfler

Abstract:

With the rapid development of communication and computation technologies, multi-agent computation is emerging as a fundamental paradigm in machine learning, signal processing and decentralized control, spanning engineering and socio-economic applications such as communication networks, peer-to-peer energy markets, smart cities, social networks.

The main limitation to the efficient operation of such multi-agent systems in real-world scenarios is the omnipresent uncertainty. In many instances, each agent only has local and partial knowledge about its environment, as well as limited information about the intentions and capabilities of the other agents. This information gap arises due to communication and sensing limitations, or due to unpredictable changes occurring in the environment over time. Achieving optimal performance in such complex, dynamic systems requires effective coordination and control mechanisms, that are robust against the uncertainty and can ensure adaptability to unforeseen changes, responsiveness, and agility in reacting to environmental dynamics.

Multi-agent control, optimization and learning are the essential tools to tackle this challenge, enabling the robust and efficient functioning of complex networks, in the face of uncertainty and mutability. This workshop aims to provide insight into cutting-edge advancements in these areas, and to spotlight crucial open problems and exciting opportunities for application in real-life engineering systems. The workshop will feature keynote talks from leading researchers in the field. The goal is to foster collaborative engagement and interdisciplinary discussions; as such, the workshop is designed to be accessible to an audience from graduate students to senior researchers, as well as practitioners in control engineering.

Program:

The detailed program of the workshop is available here.

Workshop 15 – When Bayesian optimization meets real-time control

Date & Time:

June 25th

Location:

To be announced

Organizers:

Yuning Jiang
Dinesh Krishnamoorthy
Wenjie Xu
Colin N. Jones

Abstract:

Real-time control systems are pivotal in a myriad of sectors, including manufacturing, transportation, robotics, energy, and process systems, playing a crucial role in facilitating effective decision-making and coordination. The challenge lies in designing control systems that are both optimal and efficient, a task complicated by the inherent complexity and uncertainty of the processes involved. Bayesian Optimization (BO) emerges as a potent solution to these challenges. As a sophisticated black-box optimization technique, BO offers a data-efficient and potent strategy for optimizing control systems in real-time. As such, there is a growing interest in Bayesian optimization within the control community.
 
This tutorial workshop aims to provide participants with a comprehensive understanding of Bayesian optimization and its applications in real-time control and optimization. The workshop will cover the theoretical foundations of Bayesian optimization, including Gaussian processes and acquisition functions. Furthermore, the workshop will present cutting-edge research in Bayesian Optimization tailored for real-time control, encompassing constrained Bayesian optimization, safe Bayesian optimization, BO for high-dimensional and time-varying problems, and multi-agent Bayesian optimization. The workshop will also showcase the use of BO in a broad range of application areas, including robotics, race cars, process control, digital health, and manufacturing systems.
 
This workshop is designed for researchers, practitioners, and graduate students in the fields of control engineering, optimization, and machine learning, offering them an opportunity to deepen their understanding and skills in these areas.
No prior familiarity with Bayesian Optimization or Gaussian Processes is necessary for participation.

Program:

The detailed program of the workshop is available here.

Workshop 16 – A System-Theoretic Perspective of Automotive Cybersecurity

Date & Time:

June 25th

Location:

To be announced

Organizers:

Mohammad Pirani
Ehsan Nekouei

Abstract:

Advancements in embedded systems, sensor technologies, communication devices, and artificial intelligence have resulted in vehicles that are pervasively monitored by dozens of digital computing units coordinated via internal vehicular communication networks. While this evolution in vehicle connectivity has propelled major advancements in driving efficiency, it has also introduced a new range of potential risks, including the unwanted access of third parties with malicious motives which can endanger driving safety. For instance, it has been experimentally demonstrated that bypassing the security mechanisms of a vehicle is not difficult for attackers. Moreover, attackers can also completely erase any evidence of their presence. Such incidents have resulted in serious concerns about the security of their vehicles, without which vehicle autonomy and connectivity will not gain society’s acceptance. Despite recent progress in vehicle security, there is still no clear solution to address the safety of vehicles specifically when attackers manage to access the vehicle control system, i.e., the last defense line after which the vehicle motion is affected by the attack.

The European Control Conference, one of the leading annual assemblies of systems and control researchers, serves as an ideal platform for addressing the critical topic of automotive cybersecurity from a systems and control perspective. This workshop’s objective is to spotlight the challenges within this domain and introduce recent tools and methodologies designed to prevent, detect, and mitigate adversarial actions within vehicle systems.

Program:

The detailed program of the workshop is available here.

Name of Workshop 2

Date & Time:

Wednesday, June 27, 2021 @ 8:30-9:30

Location:

C-0-Auditorium (streaming at P-1-Aula Magna)
View Map

How to Register:

This workshop does not require payment of the fee because it is supported by the organizers institutions. Registration is required. Potential participants who are not registered to the conference can send an email at giovanni.russo1@ucd.ie

Organizers:

Emanuele Crisostomi, Haeusler Florian, Bissan Ghaddar, Joe Naoum-Sawaya, Giovanni Russo, Robert Shorten.

Abstract:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ac arcu eget enim ornare mattis accumsan eu elit. Cras vitae placerat sem. Sed et pulvinar dui. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Nam venenatis pharetra ipsum sit amet volutpat. Aenean tempor non urna ut tempus. In hac habitasse platea dictumst.

Sed fringilla rutrum urna, id accumsan nulla facilisis eget. Pellentesque luctus risus interdum, lacinia magna vulputate, elementum lacus. In nec massa orci. Proin vitae gravida sapien. Donec vehicula rutrum ornare. Morbi finibus, leo nec sagittis lacinia, sapien leo aliquet justo, at malesuada neque dui quis tellus. Nullam dictum arcu id risus euismod elementum. Integer ultricies elit dolor, eget molestie leo vehicula sit amet. Maecenas vel aliquam eros. Fusce egestas vel orci auctor scelerisque. Integer pellentesque vitae sapien at pellentesque. Donec odio sem, auctor ut vestibulum in, sollicitudin ut lorem.

Vivamus vitae auctor lectus, eget vestibulum lectus. Mauris rhoncus ante neque, et volutpat diam molestie et. Vivamus nec mi porta, interdum turpis vitae, malesuada purus. Nullam ac eros odio. Mauris semper velit sit amet erat dapibus, a maximus orci feugiat. Praesent nibh odio, auctor id aliquam at, dictum quis dui. Nullam eget libero id velit luctus posuere. Proin sit amet elit facilisis, imperdiet felis ut, lacinia elit. Quisque venenatis lorem ut felis suscipit iaculis.

Aenean tempor fringilla dapibus. Mauris tincidunt facilisis orci, eu venenatis ligula. Aenean nec massa tellus. Sed hendrerit dolor id est tristique posuere. In quam elit, tincidunt vitae mauris vel, congue consequat enim. Sed consectetur, libero id consectetur varius, quam lorem blandit arcu, vitae facilisis tortor tortor sed ligula. Curabitur et rutrum orci, id rhoncus tortor. Vivamus iaculis eros consectetur faucibus gravida. Phasellus eu elementum libero. Duis sed metus in risus rhoncus dictum quis rutrum metus.

Program:

8:30-9:00

Welcome and Motivation

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

Name of Workshop 3

Date & Time:

Wednesday, June 27, 2021 @ 8:30-9:30

Location:

C-0-Auditorium (streaming at P-1-Aula Magna)
View Map

How to Register:

This workshop does not require payment of the fee because it is supported by the organizers institutions. Registration is required. Potential participants who are not registered to the conference can send an email at giovanni.russo1@ucd.ie

Organizers:

Emanuele Crisostomi, Haeusler Florian, Bissan Ghaddar, Joe Naoum-Sawaya, Giovanni Russo, Robert Shorten.

Abstract:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ac arcu eget enim ornare mattis accumsan eu elit. Cras vitae placerat sem. Sed et pulvinar dui. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Nam venenatis pharetra ipsum sit amet volutpat. Aenean tempor non urna ut tempus. In hac habitasse platea dictumst.

Sed fringilla rutrum urna, id accumsan nulla facilisis eget. Pellentesque luctus risus interdum, lacinia magna vulputate, elementum lacus. In nec massa orci. Proin vitae gravida sapien. Donec vehicula rutrum ornare. Morbi finibus, leo nec sagittis lacinia, sapien leo aliquet justo, at malesuada neque dui quis tellus. Nullam dictum arcu id risus euismod elementum. Integer ultricies elit dolor, eget molestie leo vehicula sit amet. Maecenas vel aliquam eros. Fusce egestas vel orci auctor scelerisque. Integer pellentesque vitae sapien at pellentesque. Donec odio sem, auctor ut vestibulum in, sollicitudin ut lorem.

Vivamus vitae auctor lectus, eget vestibulum lectus. Mauris rhoncus ante neque, et volutpat diam molestie et. Vivamus nec mi porta, interdum turpis vitae, malesuada purus. Nullam ac eros odio. Mauris semper velit sit amet erat dapibus, a maximus orci feugiat. Praesent nibh odio, auctor id aliquam at, dictum quis dui. Nullam eget libero id velit luctus posuere. Proin sit amet elit facilisis, imperdiet felis ut, lacinia elit. Quisque venenatis lorem ut felis suscipit iaculis.

Aenean tempor fringilla dapibus. Mauris tincidunt facilisis orci, eu venenatis ligula. Aenean nec massa tellus. Sed hendrerit dolor id est tristique posuere. In quam elit, tincidunt vitae mauris vel, congue consequat enim. Sed consectetur, libero id consectetur varius, quam lorem blandit arcu, vitae facilisis tortor tortor sed ligula. Curabitur et rutrum orci, id rhoncus tortor. Vivamus iaculis eros consectetur faucibus gravida. Phasellus eu elementum libero. Duis sed metus in risus rhoncus dictum quis rutrum metus.

Program:

8:30-9:00

Welcome and Motivation

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

Name of Workshop 4

Date & Time:

Wednesday, June 27, 2021 @ 8:30-9:30

Location:

C-0-Auditorium (streaming at P-1-Aula Magna)
View Map

How to Register:

This workshop does not require payment of the fee because it is supported by the organizers institutions. Registration is required. Potential participants who are not registered to the conference can send an email at giovanni.russo1@ucd.ie

Organizers:

Emanuele Crisostomi, Haeusler Florian, Bissan Ghaddar, Joe Naoum-Sawaya, Giovanni Russo, Robert Shorten.

Abstract:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ac arcu eget enim ornare mattis accumsan eu elit. Cras vitae placerat sem. Sed et pulvinar dui. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Nam venenatis pharetra ipsum sit amet volutpat. Aenean tempor non urna ut tempus. In hac habitasse platea dictumst.

Sed fringilla rutrum urna, id accumsan nulla facilisis eget. Pellentesque luctus risus interdum, lacinia magna vulputate, elementum lacus. In nec massa orci. Proin vitae gravida sapien. Donec vehicula rutrum ornare. Morbi finibus, leo nec sagittis lacinia, sapien leo aliquet justo, at malesuada neque dui quis tellus. Nullam dictum arcu id risus euismod elementum. Integer ultricies elit dolor, eget molestie leo vehicula sit amet. Maecenas vel aliquam eros. Fusce egestas vel orci auctor scelerisque. Integer pellentesque vitae sapien at pellentesque. Donec odio sem, auctor ut vestibulum in, sollicitudin ut lorem.

Vivamus vitae auctor lectus, eget vestibulum lectus. Mauris rhoncus ante neque, et volutpat diam molestie et. Vivamus nec mi porta, interdum turpis vitae, malesuada purus. Nullam ac eros odio. Mauris semper velit sit amet erat dapibus, a maximus orci feugiat. Praesent nibh odio, auctor id aliquam at, dictum quis dui. Nullam eget libero id velit luctus posuere. Proin sit amet elit facilisis, imperdiet felis ut, lacinia elit. Quisque venenatis lorem ut felis suscipit iaculis.

Aenean tempor fringilla dapibus. Mauris tincidunt facilisis orci, eu venenatis ligula. Aenean nec massa tellus. Sed hendrerit dolor id est tristique posuere. In quam elit, tincidunt vitae mauris vel, congue consequat enim. Sed consectetur, libero id consectetur varius, quam lorem blandit arcu, vitae facilisis tortor tortor sed ligula. Curabitur et rutrum orci, id rhoncus tortor. Vivamus iaculis eros consectetur faucibus gravida. Phasellus eu elementum libero. Duis sed metus in risus rhoncus dictum quis rutrum metus.

Program:

8:30-9:00

Welcome and Motivation

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

Name of Workshop 5

Date & Time:

Wednesday, June 27, 2021 @ 8:30-9:30

Location:

C-0-Auditorium (streaming at P-1-Aula Magna)
View Map

How to Register:

This workshop does not require payment of the fee because it is supported by the organizers institutions. Registration is required. Potential participants who are not registered to the conference can send an email at giovanni.russo1@ucd.ie

Organizers:

Emanuele Crisostomi, Haeusler Florian, Bissan Ghaddar, Joe Naoum-Sawaya, Giovanni Russo, Robert Shorten.

Abstract:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ac arcu eget enim ornare mattis accumsan eu elit. Cras vitae placerat sem. Sed et pulvinar dui. Orci varius natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Nam venenatis pharetra ipsum sit amet volutpat. Aenean tempor non urna ut tempus. In hac habitasse platea dictumst.

Sed fringilla rutrum urna, id accumsan nulla facilisis eget. Pellentesque luctus risus interdum, lacinia magna vulputate, elementum lacus. In nec massa orci. Proin vitae gravida sapien. Donec vehicula rutrum ornare. Morbi finibus, leo nec sagittis lacinia, sapien leo aliquet justo, at malesuada neque dui quis tellus. Nullam dictum arcu id risus euismod elementum. Integer ultricies elit dolor, eget molestie leo vehicula sit amet. Maecenas vel aliquam eros. Fusce egestas vel orci auctor scelerisque. Integer pellentesque vitae sapien at pellentesque. Donec odio sem, auctor ut vestibulum in, sollicitudin ut lorem.

Vivamus vitae auctor lectus, eget vestibulum lectus. Mauris rhoncus ante neque, et volutpat diam molestie et. Vivamus nec mi porta, interdum turpis vitae, malesuada purus. Nullam ac eros odio. Mauris semper velit sit amet erat dapibus, a maximus orci feugiat. Praesent nibh odio, auctor id aliquam at, dictum quis dui. Nullam eget libero id velit luctus posuere. Proin sit amet elit facilisis, imperdiet felis ut, lacinia elit. Quisque venenatis lorem ut felis suscipit iaculis.

Aenean tempor fringilla dapibus. Mauris tincidunt facilisis orci, eu venenatis ligula. Aenean nec massa tellus. Sed hendrerit dolor id est tristique posuere. In quam elit, tincidunt vitae mauris vel, congue consequat enim. Sed consectetur, libero id consectetur varius, quam lorem blandit arcu, vitae facilisis tortor tortor sed ligula. Curabitur et rutrum orci, id rhoncus tortor. Vivamus iaculis eros consectetur faucibus gravida. Phasellus eu elementum libero. Duis sed metus in risus rhoncus dictum quis rutrum metus.

Program:

8:30-9:00

Welcome and Motivation

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications

9:00-10:30

Session #1: Mathematics for the sharing economy

Antonio Frangioni (University of Pisa, Italy): Optimization methods: an applications oriented primer

Sergio Grammatico (TU Delft, Netherlands): On distributed generalized seeking equilibria for sharing economy applications