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Observer-based adaptive fuzzy quantized tracking DSC design for MIMO nonstrict-feedback nonlinear systems

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Abstract

This paper concerned with the problem of observer-based adaptive fuzzy quantized tracking dynamic surface control (DSC) is investigated for the uncertain multi-input and multi-output (MIMO) nonstrict-feedback nonlinear systems, which contain unknown nonlinear functions, input quantization, and unmeasured states. By using fuzzy logic systems to identify the uncertain MIMO nonstrict-feedback nonlinear systems, a fuzzy state observer is introduced to estimate the immeasurable states. By transforming the hysteretic quantized input into a new nonlinear decomposition, and utilizing the DSC backstepping design method, a novel and less conservative fuzzy adaptive quantized tracking control approach is developed. It is shown that the proposed control scheme can guarantee the stability of the closed-loop system, and also that the system outputs can track the given desired trajectories. The simulation results are provided to verify the effectiveness of the proposed control strategy.

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Authors and Affiliations

  1. College of Science, Liaoning University of Technology, Jinzhou, 121000, Liaoning, China

    Shuai Sui & Shaocheng Tong

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  1. Shuai Sui
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  2. Shaocheng Tong
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Correspondence to Shuai Sui or Shaocheng Tong.

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The authors declare that there is no conflict of interests regarding the publication of this paper.

Additional information

This work was supported in part by the National Natural Science Foundation of China (Nos. 61603167, 61374113).

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Sui, S., Tong, S. Observer-based adaptive fuzzy quantized tracking DSC design for MIMO nonstrict-feedback nonlinear systems. Neural Comput & Applic 30, 3409–3419 (2018). https://doi.org/10.1007/s00521-017-2929-4

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  • DOI: https://doi.org/10.1007/s00521-017-2929-4

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