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SUMMARY:Distributed Control\, Estimation and Optimization in Multi-agent S
 ystems - Professor Wei Ren\, Department of Electrical and Computer Enginee
 ring University of California\, Riverside
DTSTART:20231110T143000Z
DTEND:20231110T153000Z
UID:TALK208003@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:Abstract：While autonomous systems that perform solo missions
  can yield significant benefits\, greater efficiency and operational capab
 ility will be realized from teams of autonomous systems operating in a coo
 rdinated fashion. Potential applications for networked multiple autonomous
  systems include environmental monitoring\, search and rescue\, space-base
 d interferometers\, hazardous material handling\, and combat\, surveillanc
 e\, and reconnaissance systems. Networked multi-agent systems place high d
 emands on features such as low cost\, high adaptivity and scalability\, in
 creased flexibility\, great robustness\, and easy maintenance. To meet the
 se demands\, the current trend is to design distributed algorithms that re
 ly on only local information and local interaction to achieve global group
  behavior.\n\nThe purpose of this talk is to overview our recent research 
 in distributed control\, estimation and optimization in networked multi-ag
 ent systems. For distributed control\, results on distributed synchronizat
 ion for agents with various dynamics\, distributed single-leader collectiv
 e tracking with reduced interaction and partial measurements\, and distrib
 uted multi-leader containment control with local interaction will be intro
 duced. For distributed estimation\, results on fully distributed informati
 on fusion with multiple networked sensors will be introduced\, under very 
 mild assumptions on local observability\, communication graphs\, and model
 s.  For distributed optimization\, results on distributed convex optimizat
 ion will be introduced\, under realistic challenges such as non-identical 
 constraints\, fully distributed design\, and time-varying cost functions. 
 Application examples in multi-vehicle cooperative control will also be int
 roduced.\n
LOCATION:Department of Engineering\, LT6\, and online (zoom): https://newn
 ham.zoom.us/j/92544958528?pwd=YS9PcGRnbXBOcStBdStNb3E0SHN1UT09
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