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Adaptive fuzzy output feedback tracking control with prescribed performance for chemical reactor of MIMO nonlinear systems

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Abstract

In this paper, a fuzzy adaptive control approach with prescribed performance is developed for a chemical reactor of multi-input and multi-output nonlinear systems with unmeasured states. Using fuzzy logic systems to model the uncertain nonlinear systems, a fuzzy adaptive observer is designed for immeasurable states estimations. Under the framework of the backstepping design and incorporated by the predefined performance technique, a new fuzzy adaptive output feedback control is developed. It is shown that all the signals of the resulting closed-loop systems are bounded, and the tracking errors remain within an adjustable neighborhood of the origin with the prescribed performance bounds. The detailed simulation results and performance comparisons are provided to demonstrate the effectiveness of the proposed control approach.

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Authors and Affiliations

  1. Department of Basic Mathematics, Liaoning University of Technology, Jinzhou, 121001, China

    Lili Zhang, Shuai Sui, Yongming Li & Shaocheng Tong

Authors
  1. Lili Zhang
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  2. Shuai Sui
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  3. Yongming Li
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  4. Shaocheng Tong
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Corresponding author

Correspondence to Yongming Li.

Additional information

This work was supported by the National Natural Science Foundation of China (Nos. 61074014, 61374113, 61203008), Liaoning Innovative Research Team in University (LT2012013).

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Zhang, L., Sui, S., Li, Y. et al. Adaptive fuzzy output feedback tracking control with prescribed performance for chemical reactor of MIMO nonlinear systems. Nonlinear Dyn 80, 945–957 (2015). https://doi.org/10.1007/s11071-015-1919-2

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  • DOI: https://doi.org/10.1007/s11071-015-1919-2

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