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Predictor-Based Fuzzy Fast Finite-Time Tracking Control for Strict-Feedback Nonlinear Systems

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Abstract

In this paper, the problem of predictor-based fast finite-time fuzzy dynamic surface control for the nonlinear systems with strict-feedback structure is considered. Different from the traditional fuzzy dynamic surface control method, the proposed method utilizes prediction errors to update learning parameters for improving fuzzy logic systems learning behaviors in this paper. This technique can estimate the system unknown function smoothly and cannot result in high-frequency oscillations due to the existence of the overlarge adaptive gains. In addition, based on fast finite-time theorem and backstepping control technique, the developed controller can ensure all signals of the closed-loop are bounded at a finite time. Eventually, the illustrative examples are given to validate the effectiveness of the developed method.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62173046.

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Authors and Affiliations

  1. The College of Mathematical Sciences, Bohai University, Jinzhou, 121000, Liaoning, China

    Jiawei Ma, Yakun Su & Huanqing Wang

  2. School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, Liaoning, China

    Ming Chen

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  1. Jiawei Ma
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  2. Yakun Su
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  3. Ming Chen
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  4. Huanqing Wang
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Correspondence to Jiawei Ma.

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Ma, J., Su, Y., Chen, M. et al. Predictor-Based Fuzzy Fast Finite-Time Tracking Control for Strict-Feedback Nonlinear Systems. Int. J. Fuzzy Syst. (2024). https://doi.org/10.1007/s40815-024-01719-x

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  • DOI: https://doi.org/10.1007/s40815-024-01719-x

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