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Tracking error constrained adaptive dynamic surface control for a class of uncertain nonlinear systems

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Abstract

A Barrier Lyapunov Function (BLF)-based robust adaptive dynamic surface control (DSC) algorithm is proposed for tracking control of a class of uncertain nonlinear systems with symmetric tracking error constraints. The uncertainties include both of the linearly parameterized terms and the nonlinear function terms. The nonlinear function terms are assumed to satisfy a 'triangularity condition' and handled by adaptive control methodology. The error constraints are characterized as a prescribed time-varying error bounding function, and a time-varying BLF is incorporated into adaptive DSC design to prevent constraints violation. It is shown that the obtained controller can achieve asymptotic tracking and ensure constraints satisfaction, and all closed loop signals remain bounded. A simulation study demonstrates the effectiveness of the proposed control.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages1196-1201
Number of pages6
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • Adaptive Control
  • Barrier Lyapunov Function
  • Dynamic Surface Control
  • Tracking Error Constraint

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