Observer-based multiple-model adaptive output feedback control for a class of nonlinear systems

Jie Chen*, Wei Chen, Jian Sun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In this paper a systematic observer-based multiple-model adaptive controller design method is proposed for Lipschitz nonlinear systems. By introducing a compensator in the observer-based controller, the uncertainty due to the estimation error is decreased and the steady-state response is improved significantly. In order to deal with the uncertainty of system dynamics, a multiple-model switching scheme is introduced to improve the transient performance. A state-dependent dwell-time-based switching logic is used to ensure the asymptotic stability as it can cancel the possible increase of Lyapunov function in each switching. A simulation result is given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)884-890
Number of pages7
JournalTransactions of the Institute of Measurement and Control
Volume36
Issue number7
DOIs
Publication statusPublished - 1 Oct 2014

Keywords

  • Adaptive control
  • multiple model
  • nonlinear observer
  • nonlinear systems
  • switching

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