Fair Networked Control with Limited Resources
Event details
| Date | 06.11.2015 |
| Hour | 10:15 › 11:15 |
| Speaker |
Prof. Sandra Hirche, Technische Universität München Bio: Sandra Hirche holds the TUM Liesel Beckmann Distinguished Professorship and heads the Chair of Information-oriented Control in the Department of Electrical and Computer Engineering at Technical University of Munich, Germany (since 2013). She received the diploma engineer degree in Aeronautical and Aerospace Engineering in 2002 from the Technical University Berlin, Germany, and the Doctor of Engineering degree in Electrical and Computer Engineering in 2005 from Technical University of Munich, Germany. From 2005-2007 she has been a PostDoc fellow of the Japanese Society for the Promotion of Science at the Fujita Laboratory at Tokyo Institute of Technology, Japan. Prior to her present appointment she has been an associate professor at Technical University of Munich. Her main research interests include networked dynamical systems, cooperative and distributed control, and event-triggered control with applications in human-in-the-loop systems, robotics, and infrastructure systems. She has published more than 150 papers in international journals, books, and refereed conferences. Dr. Hirche has served or is serving on the Editorial Boards of the IEEE Transactions on Control Systems Technology and the “IEEE Transactions on Haptics". She has received multiple awards such as the Rohde & Schwarz Award for her Ph.D. thesis in 2005, the IFAC World Congress Best Poster Award in 2005 and together with students Best Paper Awards of IEEE Worldhaptics and IFAC Conference of Manoeuvring and Control of Marine Craft in 2009. Sandra Hirche is senior member of the IEEE and serves as Vice-President for Member Activities in the IEEE Control System Society (CSS) since 2015. |
| Location | |
| Category | Conferences - Seminars |
Robot control using distributed sensors and distributed computational resources in smart environments and infrastructure systems are examples of cyber-physical systems where communication and/or computational resources are constrained.
The scientific challenge is to design control schemes taking into account such resource constraints in first place, and preferably even include fair resource sharing mechanisms among different control applications. Recent results indicate major benefits of event-based control compared to conventional designs, when resources are scarce. In this talk we present a novel approach for the fair event-based control of multiple control loops, which share the communication resource. We approach the problem from an optimality point of view and derive an efficient and tractable decomposition.
We provide a distributed solution for the resource sharing, which exploits the adaptation ability of event-triggered control in terms of communication traffic elasticity. This property is used to implement a distributed price exchange mechanism, where event-triggers adapt their thresholds according to the resource constraints.
The scientific challenge is to design control schemes taking into account such resource constraints in first place, and preferably even include fair resource sharing mechanisms among different control applications. Recent results indicate major benefits of event-based control compared to conventional designs, when resources are scarce. In this talk we present a novel approach for the fair event-based control of multiple control loops, which share the communication resource. We approach the problem from an optimality point of view and derive an efficient and tractable decomposition.
We provide a distributed solution for the resource sharing, which exploits the adaptation ability of event-triggered control in terms of communication traffic elasticity. This property is used to implement a distributed price exchange mechanism, where event-triggers adapt their thresholds according to the resource constraints.
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