Adaptive Output Tracking Control of Piecewise Affine Systems With Prescribed Performance

Tong Liu, Yufeng Gao, Martin Buss

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

In this article, we investigate the adaptive output tracking control for multiinput-multioutput piecewise affine systems with prescribed performance. Both direct and indirect adaptation approaches are studied. Given a desired trajectory, both control approaches ensure the output tracking error to be confined within a performance bound, which prescribes the steady-state tracking error as well as the transient behavior, such as decaying rate and overshoot. We establish novel common Lyapunov functions without solving the conventional Lyapunov equations. Based on these common Lyapunov functions, the stability of the closed-loop system under arbitrary switching is established. Furthermore, the parameter convergence for both direct and indirect approaches is proved under the persistently exciting condition of the input signals. The dynamic gain adjustment technique is incorporated to counter the singularity problem in the indirect adaptation case. Finally, the numerical simulation validates the effectiveness and correctness of the proposed approaches in both direct and indirect adaptation cases.

Original languageEnglish
Pages (from-to)5398-5410
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume52
Issue number9
DOIs
StatePublished - 1 Sep 2022

Keywords

  • Adaptive control
  • hybrid systems
  • piecewise affine (PWA) systems
  • prescribed performance

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