Game Theory Meets MPC: Advances in Multi-Agent Control at CDC 2025

Frank Allgöwer studied engineering cybernetics and applied mathematics in Stuttgart and with the University of California, Los Angeles (UCLA), CA, USA, respectively, and received the Ph.D. degree from the University of Stuttgart, Stuttgart, Germany. Since 1999, he has been the Director of the Institute for Systems Theory and Automatic Control and a professor with the University of Stuttgart. His research interests include predictive control, data-based control, networked control, cooperative control, and nonlinear control with application to a wide range of fields including systems biology. Dr. AllgÅNower was the President of the International Federation of Automatic Control (IFAC) in 2017–2020 and the Vice President of the German Research Foundation DFG in 2012–2020.

Tamer Başar received his B.S.E.E. degree from Robert College, Istanbul, and his M.S., M.Phil., and Ph.D. degrees from Yale University. He has been with the University of Illinois at Urbana-Champaign since 1981, where he is currently Swanlund Endowed Chair Emeritus and Center for Advanced Study (CAS) Professor Emeritus of Electrical and Computer Engineering, with affiliations with the Coordinated Science Laboratory and the Information Trust Institute. At Illinois, he has served as Director of CAS (2014–2020), Interim Dean of Engineering (2018), and Interim Director of the Beckman Institute (2008–2010). His current research interests include stochastic teams, games, and networks; multiagent systems and learning; data-driven distributed optimization; epidemics modeling and control over networks; security and trust; energy systems; and cyber–physical systems. He has received several awards and recognitions, including the Bode Lecture Prize of the IEEE Control Systems Society (CSS), Quazza Medal of IFAC, Bellman Heritage Award of the American Automatic Control Council (AACC), Isaacs Award of the International Society of Dynamic Games (ISDG), the IEEE Control Systems (Field) Award, and numerous international honorary doctorates and professorships.

Alberto Bemporad received his Master’s degree cum laude in Electrical Engineering in 1993 and his Ph.D. in Control Engineering in 1997 from the University of Florence, Italy. In 1997–1999 he held a postdoctoral position at the Automatic Control Laboratory, ETH Zurich, Switzerland, where he collaborated as a Senior Researcher until 2002. Between 1999 and 2011 he held faculty appointments first at the UNiversity of Seina and then at the University of Trento, Italy. Since 2011 he has been a Full Professor at the IMT School for Advanced Studies Lucca, Italy, where he served as the Director of the institute in 2012–2015. He has published more than 400 papers in the areas of model predictive control, hybrid systems, optimization, automotive control, and is the co-inventor of 21 patents. He was an Associate Editor of the IEEE Transactions on Automatic Control during 2001–2004 and Chair of the Technical Committee on Hybrid Systems of the IEEE Control Systems Society in 2002–2010. He received the IFAC High-Impact Paper Award for the 2011–14 triennial, the IEEE CSS Transition to Practice Award in 2019, and the 2021 SAE Environmental Excellence in Transportation Award. He has been an IEEE Fellow since 2010.

Lacra Pavel received the Diploma of Engineering from the Technical University of Lasi, Lasi, Romania, and the Ph.D. degree in electrical engineering from Queen’s University, Kingston, Canada. After a postdoctoral stage at the National Research Council and four years of industry experience, in 2002 she joined the University of Toronto, Toronto, ON, Canada, where she is now a Professor in the Systems Control Group, Department of Electrical and Computer Engineering. She has authored the book Game Theory for Control of Optical Networks. Her research interests include game theory and distributed optimization in networks, with emphasis on dynamics and control. Dr. Pavel is a Senior Editor of IEEE Transactions on Control of Network Systems, a Senior Editor of the IEEE Open Journal of Control Systems and a Member of the Conference Editorial Board of the IEEE Control Systems Society; she acted as Publications Chair of the 45th IEEE Conference on Decision and Control.

Negar Mehr received a B.S. degree from Sharif University of Technology and a Ph.D. degree from UC Berkeley, Berkeley, CA, USA, in 2013 and 2019, respectively, both in mechanical engineering. From 2019 to 2020, she was a Postdoctoral Scholar with Stanford Aeronautics and Astronautics Department. She is an Assistant Professor with the Mechanical Engineering Department at the University of California, Berkeley. Before joining Berkeley, she was an assistant professor in Aerospace Engineering at the University of Illinois, Urbana-Champaign. Her research interest includes learning and control algorithms for interactive robots, robots that can safely and intelligently interact with other agents. Dr. Mehr is the recipient of the NSF CAREER award in 2022. Her Ph.D. dissertation was awarded the 2020 IEEE ITSS Best Ph.D. Dissertation Award.

Sophie Hall is a PhD student at the Automatic Control Laboratory at ETH Zurich. She received the Bachelor’s degree in Mechanical Engineering from the University of Surrey, UK, and Nanyang Technological University, Singapore. She completed her Master’s degree at ETH Zurich in Biomedical Engineering focusing on modeling and control. She was a finalist for the IFAC NMPC 2024 Young Authors Award. Her research interests revolve around game theory, model predictive control and real-time optimization with applications in energy management, computing centers, and supply chains.

Emilio Benenati received the bachelor’s degree in electrical engineering from the University of Catania, Catania, Italy, and the master’s degree in robotics, systems and control from ETH Z¨urich, Z¨urich, Switzerland, in 2016 and 2019, respectively. He completed his Ph.D. degree in automatic control with the Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands in 2025. He is currently a postdoctoral researcher at the KTH Royal Institute of Technology, Stockholm, Sweden. From 2019 to 2020, he was a Research Fellow with the Department of Artificial and Mechanical Intelligence, Italian Institute of Technology, Genova, Italy.

Giulio Salizzoni is a PhD student in the Systems Control and Multiagent Optimization Research group at EPFL Lausanne, Switzerland. He received both his Bachelor’s Degree in Electronic engineering and his Master’s Degree in Automation and Control engineering from Politecnico di Milano. During the Master, he also attended the Alta Scuola Politecnica, a multidisciplinary honour program. In his master thesis, he studied the use of the scenario approach to shape the stationary state distribution of a linear system. Currently, he is interested in multiagent learning and optimization.