Chin. Phys. B ›› 2012, Vol. 21 ›› Issue (12): 120505-120505.doi: 10.1088/1674-1056/21/12/120505

• GENERAL • 上一篇    下一篇

Adaptive fuzzy nonlinear inversion-based control for uncertain chaotic systems

刘恒a, 余海军b, 向伟a   

  1. a School of Mathematics and Computer Science, Huainan Normal University, Huainan 232038, China;
    b School of Physics and Electronic Information, Huainan Normal University, Huainan 232038, China
  • 收稿日期:2012-04-25 修回日期:2012-06-15 出版日期:2012-11-01 发布日期:2012-11-01
  • 基金资助:
    Project supported by the Young Talents Natural Science Foundation for Universities of Anhui Province, China (Grant No. 2012SQRL179).

Adaptive fuzzy nonlinear inversion-based control for uncertain chaotic systems

Liu Heng (刘恒)a, Yu Hai-Jun (余海军)b, Xiang Wei (向伟)a   

  1. a School of Mathematics and Computer Science, Huainan Normal University, Huainan 232038, China;
    b School of Physics and Electronic Information, Huainan Normal University, Huainan 232038, China
  • Received:2012-04-25 Revised:2012-06-15 Online:2012-11-01 Published:2012-11-01
  • Contact: Liu Heng E-mail:liuheng122@gmail.com
  • Supported by:
    Project supported by the Young Talents Natural Science Foundation for Universities of Anhui Province, China (Grant No. 2012SQRL179).

摘要: This paper presents a robust output feedback control method for uncertain chaotic systems which comprises a nonlinear inversion-based controller with a fuzzy robust compensator. The proposed controller eliminates the unknown nonlinear function by using a fuzzy system, whose inputs are not the state variables but feedback error signals. The underlying stability analysis as well as parameter update law design are carried out by Lyapunov-based technique. The proposed method indicates that the nonlinear inversion-based control approach can also be used to uncertain chaotic systems. Theoretical results are illustrated through two simulation examples.

关键词: chaotic systems, nonlinear inversion-based control, adaptive fuzzy control, variable structure control

Abstract: This paper presents a robust output feedback control method for uncertain chaotic systems which comprises a nonlinear inversion-based controller with a fuzzy robust compensator. The proposed controller eliminates the unknown nonlinear function by using a fuzzy system, whose inputs are not the state variables but feedback error signals. The underlying stability analysis as well as parameter update law design are carried out by Lyapunov-based technique. The proposed method indicates that the nonlinear inversion-based control approach can also be used to uncertain chaotic systems. Theoretical results are illustrated through two simulation examples.

Key words: chaotic systems, nonlinear inversion-based control, adaptive fuzzy control, variable structure control

中图分类号:  (Control of chaos, applications of chaos)

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