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SUMMARY:Fair Networked Control with Limited Resources
DTSTART:20151106T101500
DTEND:20151106T111500
DTSTAMP:20260407T042042Z
UID:432bee517e1ebba4c462d34572db653a5c0b7160c12432084779c297
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Sandra Hirche\, Technische Universität München\nBio: S
 andra Hirche holds the TUM Liesel Beckmann Distinguished Professorship and
  heads the Chair of Information-oriented Control in the Department of Elec
 trical and Computer Engineering at Technical University of Munich\, German
 y (since 2013). She received the diploma engineer degree in Aeronautical a
 nd Aerospace Engineering in 2002 from the Technical University Berlin\, Ge
 rmany\, and the Doctor of Engineering degree in Electrical and Computer En
 gineering in 2005 from Technical University of Munich\, Germany. From 2005
 -2007 she has been a PostDoc fellow of the Japanese Society for the Promot
 ion of Science at the Fujita Laboratory at Tokyo Institute of Technology\,
  Japan. Prior to her present appointment she has been an associate profess
 or at Technical University of Munich. \nHer main research interests inclu
 de 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 pap
 ers in international journals\, books\, and refereed conferences. Dr. Hirc
 he has served or is serving on the Editorial Boards of the IEEE Transactio
 ns on Control Systems Technology and the “IEEE Transactions on Haptics".
  She has received multiple awards such as the Rohde & Schwarz Award for he
 r 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 IFA
 C Conference of Manoeuvring and Control of Marine Craft in 2009. Sandra Hi
 rche is senior member of the IEEE and serves as Vice-President for Member 
 Activities in the IEEE Control System Society (CSS) since 2015.\nRobot con
 trol using distributed sensors and distributed computational resources in 
 smart environments and infrastructure systems are examples of cyber-physic
 al systems where communication and/or computational resources are constrai
 ned.\nThe scientific challenge is to design control schemes taking into ac
 count such resource constraints in first place\, and preferably even inclu
 de 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 loop
 s\, which share the communication resource. We approach the problem from a
 n optimality point of view and derive an efficient and tractable decomposi
 tion.\nWe provide a distributed solution for the resource sharing\, which 
 exploits the adaptation ability of event-triggered control in terms of com
 munication traffic elasticity. This property is used to implement a distri
 buted price exchange mechanism\, where event-triggers adapt their threshol
 ds according to the resource constraints.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
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STATUS:CONFIRMED
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