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SUMMARY:On Minimax Adaptive Control - Anders Rantzer\, Lund University
DTSTART:20220428T130000Z
DTEND:20220428T140000Z
UID:TALK172955@talks.cam.ac.uk
CONTACT:Xiaodong Cheng
DESCRIPTION:The history of adaptive control dates back at least to aircraf
 t autopilot development in the 1950s. Computer control and system identifi
 cation led to a surge of research interest during the decades to follow. R
 ecently\, research activities have been stimulated by the progress in mach
 ine leaning. Abundance of data and computing resources creates an ever-gro
 wing stream of engineering opportunities for adaptation. This presentation
  will focus on linear time-invariant systems with uncertain parameters res
 tricted to a finite set. By studying min-max dynamic games like in H-infin
 ity control\, it is possible to compute adaptive feedback controllers with
  bounded l2-gain from disturbances to errors. The gain bound refers to the
  closed loop system\, including the non-linear learning procedure. As a re
 sult\, robustness to unmodelled dynamics (possibly nonlinear and infinite-
 dimensional) follows from the small gain theorem.
LOCATION:Dyson Seminar Room\, Department of Engineering / Online (Zoom Mee
 ting ID: 832 4377 0774 Passcode: 684832)
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