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Adaptive fuzzy decentralised control for stochastic nonlinear large-scale systems in pure-feedback form

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  • Shaocheng Tong
  • Yinyin Xu
  • Yongming Li

Abstract

This paper is concerned with the problem of adaptive fuzzy decentralised output-feedback control for a class of uncertain stochastic nonlinear pure-feedback large-scale systems with completely unknown functions, the mismatched interconnections and without requiring the states being available for controller design. With the help of fuzzy logic systems approximating the unknown nonlinear functions, a fuzzy state observer is designed estimating the unmeasured states. Therefore, the nonlinear filtered signals are incorporated into the backstepping recursive design, and an adaptive fuzzy decentralised output-feedback control scheme is developed. It is proved that the filter system converges to a small neighbourhood of the origin based on appropriate choice of the design parameters. Simulation studies are included illustrating the effectiveness of the proposed approach.

Suggested Citation

  • Shaocheng Tong & Yinyin Xu & Yongming Li, 2015. "Adaptive fuzzy decentralised control for stochastic nonlinear large-scale systems in pure-feedback form," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(8), pages 1510-1524, June.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:8:p:1510-1524
    DOI: 10.1080/00207721.2013.828797
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    Cited by:

    1. Min, Huifang & Xu, Shengyuan & Yu, Xin & Fei, Shumin & Cui, Guozeng, 2020. "Adaptive Tracking Control for Stochastic Nonlinear Systems with Full-State Constraints and Unknown Covariance Noise," Applied Mathematics and Computation, Elsevier, vol. 385(C).

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