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Tracking control of a class of nonlinear systems with output delay based on adaptive fuzzy dynamic surface control

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  • Zahra Rahmani
  • Barmak Baigzadehnoe
  • Behrooz Rezaie

Abstract

This paper concerns with the tracking control problem of a class of unknown nonlinear time-delay systems in the presence of output delay and inaccessible states. To deal with the difficulties arising from unmeasurable states, a fuzzy logic observer based on delayed outputs is firstly employed. Then, based on the delayed output, observed states and filtered virtual control signals, proper change of coordinates is defined for the purpose of designing dynamic surface control. By introducing appropriate Lyapunov-Krasovskii functionals in the design procedures, a controller and adaptation laws are obtained for the control strategy of nonlinear systems subject to output delay. Moreover, by selecting design parameters and matrices based on the acquired stability criteria, it is proved that the proposed adaptive fuzzy dynamic surface output feedback control approach is able to guarantee the uniformly ultimately boundedness of all the signals in the closed loop unknown nonlinear output-delay systems. Finally, the theoretic achievements are applied to three well-known benchmark systems to illustrate the effectiveness and efficiency of the proposed approach.

Suggested Citation

  • Zahra Rahmani & Barmak Baigzadehnoe & Behrooz Rezaie, 2020. "Tracking control of a class of nonlinear systems with output delay based on adaptive fuzzy dynamic surface control," International Journal of Systems Science, Taylor & Francis Journals, vol. 51(7), pages 1280-1306, May.
  • Handle: RePEc:taf:tsysxx:v:51:y:2020:i:7:p:1280-1306
    DOI: 10.1080/00207721.2020.1758827
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    Cited by:

    1. Xiongfeng Deng & Jiakai Wang, 2022. "Fuzzy-Based Adaptive Dynamic Surface Control for a Type of Uncertain Nonlinear System with Unknown Actuator Faults," Mathematics, MDPI, vol. 10(10), pages 1-21, May.

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