On distributed high-gain adaptive stabilization

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

In this paper we consider adaptive distributed stabilization for uncertain multivariable linear systems with a time-varying diagonal matrix gain. We show that an unknown system matrix being an M-matrix is a sufficient condition to ensure uncertain linear systems to be stabilizable by matrix high gains, and derive a threshold condition to ensure exponential stability of uncertain linear systems stabilized by a monotonically increasing diagonal gain matrix. When each individual gain function in the matrix gain is updated by state-dependent functions, the boundedness and convergence of both system states and adaptive matrix gains are guaranteed. We apply the matrix gain stabilization approach to adaptive synchronization control for complex networks with time-varying coupling weights.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Peking University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
  • Beräkningsmatematik
Originalspråkengelska
Titel på värdpublikation2019 IEEE 58th Conference on Decision and Control, CDC 2019
FörlagInstitute of Electrical and Electronics Engineers Inc.
Sidor1083-1088
Antal sidor6
ISBN (elektroniskt)9781728113982
ISBN (tryckt)978-1-7281-1399-9
StatusPublished - 2019 dec 1
PublikationskategoriForskning
Peer review utfördJa
Evenemang58th IEEE Conference on Decision and Control, CDC 2019 - Nice, Frankrike
Varaktighet: 2019 dec 112019 dec 13

Publikationsserier

NamnProceedings of the IEEE Conference on Decision and Control
FörlagIEEE
Volym2019-December
ISSN (tryckt)0743-1546
ISSN (elektroniskt)2576-2370

Konferens

Konferens58th IEEE Conference on Decision and Control, CDC 2019
LandFrankrike
OrtNice
Period2019/12/112019/12/13