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Observer-Based Adaptive Fuzzy Control of Nonlinear Non-strict Feedback System with Input Delay

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Abstract

This paper investigates the adaptive fuzzy output feedback control problem for nonlinear non-strict feedback system with input delay. In the control design, the Pade approximation method and fuzzy logic system are used to handle the input delay and unknown functions, and a state observer is designed to approximate the unmeasured states of the system. By backstepping technique, an observer-based adaptive fuzzy control design method is given. The stability of the controlled system and the tracking performance of the system are demonstrated by utilizing the Lyapunov function theory. Finally, a simulation example of electromechanical system is provided to confirm the effectiveness of the proposed control method.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 61773188, 61573175).

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Authors and Affiliations

  1. College of Science, Liaoning University of Technology, Jinzhou, 121001, Liaoning, People’s Republic of China

    Na Wang, Shaocheng Tong & Yongming Li

Authors
  1. Na Wang
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  2. Shaocheng Tong
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  3. Yongming Li
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Correspondence to Shaocheng Tong.

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Wang, N., Tong, S. & Li, Y. Observer-Based Adaptive Fuzzy Control of Nonlinear Non-strict Feedback System with Input Delay. Int. J. Fuzzy Syst. 20, 236–245 (2018). https://doi.org/10.1007/s40815-017-0388-9

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  • DOI: https://doi.org/10.1007/s40815-017-0388-9

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