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Event-triggered adaptive approximately optimal tracking control of a class of non-affine SISO nonlinear systems via output feedback

Author

Listed:
  • Yang Yang
  • Xin Fan
  • Baohua Sun
  • Chuang Xu
  • Shan Zuo
  • Dong Yue

Abstract

In this paper, an event-triggered adaptive approximately optimal tracking control approach is proposed for a class of non-affine nonlinear single-input single-output (SISO) systems via output feedback. With the help of fuzzy logic systems (FLSs), a fuzzy state observer is designed for the estimation of internal states by approximating unknown nonlinear functions, where a low-pass filter (LPF) is added for the algebraic loop problem. Then, the output feedback control approach, in the backstepping framework and the event-triggered mechanism, is presented. It contains the adaptive backstepping control and the approximately optimal control via adaptive dynamic programming (ADP) technology, and the computation cost and transmission load are reduced while guaranteeing that the performance index of the system is approximately minimised. Finally, two simulation examples are provided to verify the effectiveness of the proposed approach.

Suggested Citation

  • Yang Yang & Xin Fan & Baohua Sun & Chuang Xu & Shan Zuo & Dong Yue, 2022. "Event-triggered adaptive approximately optimal tracking control of a class of non-affine SISO nonlinear systems via output feedback," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(2), pages 223-239, January.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:2:p:223-239
    DOI: 10.1080/00207721.2021.1947410
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