Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties

Zhong Ping Jiang, Laurent Praly

Research output: Contribution to journalArticle

Abstract

In this paper, a modified adaptive backstepping design procedure is proposed for a class of nonlinear systems with three types of uncertainty: (i) unknown parameters; (ii) uncertain nonlinearities and (iii) unmodeled dynamics. Nonlinear damping terms are used to counteract the uncertain nonlinear functions and a dynamic signal is introduced to dominate the dynamic disturbance. The derived adaptive controller guarantees the global boundedness property for all signals and states and at the same time, steers the output to a small neighborhood of the origin. Incidentally an adaptive output-feedback control problem is solved.

Original languageEnglish (US)
Pages (from-to)825-840
Number of pages16
JournalAutomatica
Volume34
Issue number7
DOIs
StatePublished - Jul 1998

Keywords

  • Adaptive nonlinear control
  • Backstepping
  • Dynamic uncertainties
  • Input-to-state stability
  • Lyapunov functions
  • Robustness
  • Uncertain systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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