Tracking control of nonaffine systems with prescribed transient performance

  • Zhixi SHEN
  • , Tao ZHANG
  • , Yongduan SONG*
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

4 Citations (Scopus)

Abstract

This paper investigates the tracking control problem of a class of uncertain nonaffine systems. To achieve global tracking with guaranteed transient performance, a control strategy consisting of supervisory control and neural adaptive control is proposed. The supervisory sliding mode controller ensures that system states enter into a compact set exponentially and remain thereafter, and thereafter, the neural controller based on prescribed performance bound (PPB) is switched in. The global stability of system is proved by Lyapunov-based methodology. Simulation studies clarify and verify the approach.
Original languageEnglish
Title of host publicationProceedings of the 27th Chinese Control and Decision Conference, CCDC 2015
PublisherIEEE
Pages2281-2286
Number of pages6
ISBN (Electronic)9781479970179
DOIs
Publication statusPublished - 17 Jul 2015
Externally publishedYes

Keywords

  • adaptive neural control
  • neural network (NN)
  • nonaffine nonlinear systems
  • prescribed performance bound (PPB)
  • supervisory control
  • tracking control
  • transient performance

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