Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

Wei Yen Wang; Mei Lang Chan; Tsu Tian Lee; Cheng Hsin Liu

doi:10.1109/3477.891149

Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

Wei Yen Wang^*
, Mei Lang Chan
, Tsu Tian Lee
, Cheng Hsin Liu

^*此作品的通信作者

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

106 引文斯高帕斯（Scopus）

摘要

In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H_∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.

原文	英語
頁（從 - 到）	878-885
頁數	8
期刊	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
卷	30
發行號	6
DOIs	https://doi.org/10.1109/3477.891149
出版狀態	已發佈 - 2000
對外發佈	是

ASJC Scopus subject areas

控制與系統工程
軟體
資訊系統
人機介面
電腦科學應用
電氣與電子工程

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10.1109/3477.891149

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title = "Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance",

abstract = "In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.",

keywords = "Adaptive fuzzy control, Fuzzy logic system, H tracking performance, Strict-feedback system",

author = "Wang, \{Wei Yen\} and Chan, \{Mei Lang\} and Lee, \{Tsu Tian\} and Liu, \{Cheng Hsin\}",

note = "Funding Information: Manuscript received November 16, 1999; revised March 16, 2000; June 23, 2000. This work was supported by the National Science Council, Taiwan, under Grant NSC 87-2213-E-129-003. This paper was recommended by Associate Editor L. O. Hall.",

year = "2000",

doi = "10.1109/3477.891149",

language = "English",

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T1 - Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

AU - Wang, Wei Yen

AU - Chan, Mei Lang

AU - Lee, Tsu Tian

AU - Liu, Cheng Hsin

N1 - Funding Information: Manuscript received November 16, 1999; revised March 16, 2000; June 23, 2000. This work was supported by the National Science Council, Taiwan, under Grant NSC 87-2213-E-129-003. This paper was recommended by Associate Editor L. O. Hall.

PY - 2000

Y1 - 2000

N2 - In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.

AB - In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.

KW - Adaptive fuzzy control

KW - Fuzzy logic system

KW - H tracking performance

KW - Strict-feedback system

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JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

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Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H tracking performance

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