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Adaptive prescribed performance control for switched nonlinear systems with input saturation

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  • Shi Li
  • Zhengrong Xiang

Abstract

In this paper, an adaptive prescribed performance output-feedback control scheme is proposed for a class of switched nonlinear systems with input saturation. The MT-filters are employed to estimate the unmeasured states and the unknown functions are approximated by the radial basis function neural networks in controller design procedure. It is proved that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error satisfies the prescribed performance. Finally, simulation results are given to illustrate the effectiveness of the proposed approach.

Suggested Citation

  • Shi Li & Zhengrong Xiang, 2018. "Adaptive prescribed performance control for switched nonlinear systems with input saturation," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(1), pages 113-123, January.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:1:p:113-123
    DOI: 10.1080/00207721.2017.1390706
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