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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems

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Abstract

Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process based on the backstepping technique. For handling the asymmetric input saturation, an auxiliary system with the same order as the considered system is constructed. Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems. It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis. Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.

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Authors and Affiliations

  1. School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou, 510006, China

    HongRu Ren, HongYi Li & RenQuan Lu

  2. Department of New Networks, Peng Cheng Laboratory, Shenzhen, 518055, China

    HongRu Ren

  3. School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou, 510006, China

    Hui Ma

Authors
  1. HongRu Ren
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  2. Hui Ma
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  3. HongYi Li
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  4. RenQuan Lu
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Corresponding author

Correspondence to HongYi Li.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 62003093, 62203119, 62121004, and 62141606), the China National Postdoctoral Program (BX20220095, 2022M710826), the Major Key Project of Peng Cheng Laboratory (Grant No. PCL2021A09), the Natural Science Foundation of Guangdong Province (Grant No. 2022A1515011506), the Local Innovative and Research Teams Project of Guangdong Special Support Program (Grant No. 2019BT02X353), and the Guangzhou Science and Technology Planning Project (Grant No. 202102020586).

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Ren, H., Ma, H., Li, H. et al. A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems. Sci. China Technol. Sci. 66, 456–467 (2023). https://doi.org/10.1007/s11431-022-2126-7

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  • DOI: https://doi.org/10.1007/s11431-022-2126-7

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