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Adaptive fuzzy output-feedback control for a class of nonlinear pure-feedback systems with time delays

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  • Honghong Wang
  • Bing Chen
  • Chong Lin
  • Yumei Sun

Abstract

This paper investigates observer-based adaptive fuzzy control for a class of delayed nonlinear systems in pure-feedback form. We first proposed a linear observer to get the estimation of the system's state. And then utilise fuzzy logic systems to model those nonlinearities. Further, adaptive fuzzy approach and backstepping technique are combined to develop the desired controller via Lyapunov analysis. The suggested adaptive fuzzy control scheme ensures that all the signals of the resulting nonlinear system converge to a small neighbourhood of the origin. Then a real simulation is used to illustrated the effectiveness of our results.

Suggested Citation

  • Honghong Wang & Bing Chen & Chong Lin & Yumei Sun, 2017. "Adaptive fuzzy output-feedback control for a class of nonlinear pure-feedback systems with time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1242-1253, April.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:6:p:1242-1253
    DOI: 10.1080/00207721.2016.1250970
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    References listed on IDEAS

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    1. Baoyu Huo & Shaocheng Tong & Yongming Li, 2013. "Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(12), pages 2365-2376.
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