Indirect Adaptive Type-2 Fuzzy Impulsive Control of Nonlinear Systems

In this paper, a novel indirect adaptive interval type-2 fuzzy tracking control is proposed. Strategy with impulsive and Lyapunov synthesis approach, it handles the training data corrupted by noise or rule uncertainties for linear and nonlinear systems involving external disturbances. In comparison...

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Published inIEEE transactions on fuzzy systems Vol. 23; no. 4; pp. 1084 - 1099
Main Authors Li, Yimin, Sun, Yuanyuan, Hua, Jing, Li, Li
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control systems
Asymptotic properties
Chaos
Computer simulation
Control systems
Dynamical systems
Frequency selective surfaces
Fuzzy control
Fuzzy logic
Fuzzy sets
Fuzzy systems
Nonlinear dynamics
Tracking errors
Uncertainty
Design
type-2 fuzzy set
interval type-2 fuzzy control (IT2FC)
impulsive control
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Abstract In this paper, a novel indirect adaptive interval type-2 fuzzy tracking control is proposed. Strategy with impulsive and Lyapunov synthesis approach, it handles the training data corrupted by noise or rule uncertainties for linear and nonlinear systems involving external disturbances. In comparison with conventional methods, the advocated approach guarantees closed-loop stability. The output tracking error of the overall system will converge to zero asymptotically by the generalized Barbalat's lemma. Numerical simulations are given to illustrate the effectiveness of the proposed techniques.
AbstractList In this paper, a novel indirect adaptive interval type-2 fuzzy tracking control is proposed. Strategy with impulsive and Lyapunov synthesis approach, it handles the training data corrupted by noise or rule uncertainties for linear and nonlinear systems involving external disturbances. In comparison with conventional methods, the advocated approach guarantees closed-loop stability. The output tracking error of the overall system will converge to zero asymptotically by the generalized Barbalat's lemma. Numerical simulations are given to illustrate the effectiveness of the proposed techniques.
Author Yuanyuan Sun
Jing Hua
Yimin Li
Li Li
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Snippet In this paper, a novel indirect adaptive interval type-2 fuzzy tracking control is proposed. Strategy with impulsive and Lyapunov synthesis approach, it...
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SubjectTerms Adaptive control systems
Asymptotic properties
Chaos
Computer simulation
Control systems
Dynamical systems
Frequency selective surfaces
Fuzzy control
Fuzzy logic
Fuzzy sets
Fuzzy systems
Nonlinear dynamics
Tracking errors
Uncertainty
Title Indirect Adaptive Type-2 Fuzzy Impulsive Control of Nonlinear Systems
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