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Fuzzy Quantized Control of Nonstrict Feedback Nonlinear Systems with Actuator Faults

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Abstract

This paper studies the adaptive tracking control problem for a class of nonstrict feedback nonlinear systems with quantized inputs and actuator faults. Compared with existing works on quantized control problem, the asymmetric hysteresis quantizer is considered in the actuator failure problem in this paper. To resolve the control challenge caused by the quantization effect, a nonlinear decomposition of the quantizer is proposed and applied to the controller design in the last step of the backstepping-based control approach. Combining with fuzzy logic systems, the unknown nonlinear functions contained in the researched nonlinear system is disposed without knowing some restrictive conditions of uncertainties. The developed controller guarantees that the system output converges to a small neighborhood of the desired reference signal and all the signals of the closed-loop system are bounded. Finally, simulation results are depicted to illustrate the efficiency of the proposed control algorithm.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 61973198, 61633014, 61703248), the Research Fund for the Taishan Scholar Project of Shandong Province of China, and SDUST Research Fund (No. 2015TDJH105).

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Authors and Affiliations

  1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266590, China

    Hang Su & Weihai Zhang

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  1. Hang Su
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  2. Weihai Zhang
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Correspondence to Hang Su.

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Su, H., Zhang, W. Fuzzy Quantized Control of Nonstrict Feedback Nonlinear Systems with Actuator Faults. Int. J. Fuzzy Syst. 22, 1922–1936 (2020). https://doi.org/10.1007/s40815-020-00891-0

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  • DOI: https://doi.org/10.1007/s40815-020-00891-0

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