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Journal of Projectiles, Rockets, Missiles and Guidance >

2011 , Vol. 31 >Issue 1: 45 - 48

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2011.01.004

MISSILES AND GUIDANCE TECHNOLOGY

Adaptive Fuzzy Inverse Control Approach for Uncertain Nonlinear System

  • DING Minghai ,
  • ZHANG Yougen ,
  • ZHU Liangjun
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  • 1 No. 91868 Unit, Hainan Sanya 572000, China
    2 No. 91551 Unit, Jiangxi Jiujiang 331000, China
    3 No. 91291 Unit, Hainan Sanya 572000, China

Received date: 2009-11-18

  Online published: 2025-05-30

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Abstract

In this paper, a novel adaptive fuzzy controller for uncertain nonlinear systems was proposed to attenuate the effects caused by unmodeled dynamics and disturbances. Because of the advantages of fuzzy systems, which can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory was then employed to derive the update laws for approximating the uncertain nonlinear functions of the dynamical system. Furthermore, the adaptive inverse control scheme was used to derive the control law and update law, and the uniformly asymptotically stability was proved by Lyapunov synthesis method. Simulation results show the validity of the proposed approach.

Key words： adaptive control; inverse control; fuzzy control; uncertain nonlinear system

Cite this article

DING Minghai , ZHANG Yougen , ZHU Liangjun . Adaptive Fuzzy Inverse Control Approach for Uncertain Nonlinear System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(1) : 45 -48 . DOI: 10.15892/j.cnki.djzdxb.2011.01.004

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References

[1]
Isidori A. Nonlinear control systems[M]. Berlin: Springer-Verlag (x), 1998.
[2]
Slotine E, Li Weiping. Applied nonlinear control[M]. 北京: 机械工业出版社, 2004.
[3]
王立新. 模糊系统与模糊控制[M]. 北京: 清华大学出版社, 2003.
[4]
Chen Bor-Sen, Ching-Hsiang Lee, Yeong-Chan Chang. H∞ tracking design of uncertain nonlinear SI-SO systems Adaptive fuzzy approach[J]. IEEE Transaction on Fuzzy Systems, 1996, 4(1): 483-492.
[5]
Wang Wei-Yen, Chan Mei-Lang, Tsu-Tian Lee, et al. Adaptive fuzzy control for strict feedback canonical nonlinear systems with H∞tracking performance[J]. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 2000, 30(6): 32-43.
[6]
Wang Wei-Yen, Chan Mei-Lang, Hsu Chen-Chien James, et al. H∞ tracking-based sliding mode control for uncertain nonlinear systems via an adaptive fuzzy-neural approach[J]. IEEE Transaction On Systems, Man, And Cybernetics-Part B: Cybernetics, 2002, 32(4): 878-885.
[7]
Leu YG, Wang WY, Lee T T. Robust adaptive fuzz-y-neural controllers for uncertain nonlinear systems [J] IEEE Trans. Robot Automat, 1999, 15(5): 805-817.
[8]
Lue YG, Lee T T, Wang W Y. Observer-based adap-tive fuzzy neural control for unknown nonlinear dy-namical systems[J]. IEEE Trans. Syst., Man, Cy-bern, Part B, 1999, 29(5): 583-591.
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