Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems With Dead-Zone Output Mechanism Based on a Novel Smooth Model

This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone output nonlinear systems with time delays. A new approximate model is first designed to describe a special dead-zone phenomenon encountered by the output mechanism of nonlinear systems, and the proposed smooth...

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Vydáno v:IEEE transactions on fuzzy systems Ročník 23; číslo 6; s. 1998 - 2011
Hlavní autoři: Zhi Liu, Guanyu Lai, Yun Zhang, Chen, C. L. Philip
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.12.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptation models
Adaptive fuzzy control
Adaptive systems
Approximation methods
backstepping
barrier Lyapunov function
Control systems
Couplings
Delay effects
Lyapunov-Krasovskii function
Nonlinear systems
nonsymmetric dead-zone output
time delays
Adaptive fuzzy control
backstepping
barrier Lyapunov function (BLF)
time delays
Lyapunov–Krasovskii function
nonsymmetric dead-zone output
ISSN:1063-6706, 1941-0034
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Shrnutí:This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone output nonlinear systems with time delays. A new approximate model is first designed to describe a special dead-zone phenomenon encountered by the output mechanism of nonlinear systems, and the proposed smooth model can be conveniently fused with available adaptive fuzzy control techniques. In addition, the coupling effect that the dead-zone output and the time-delayed states coexist in a common coupling function makes the tracking control design more complicated. To further address this difficulty, a compensation method using mean-value theorem with Lyapunov-Krasovskii function is presented in this paper. By using the proposed output dead-zone model, and based on Lyapunov synthesis, a new optimized algorithm is developed to guarantee the prescribed convergence of tracking error and the boundedness of all the signals in the closed-loop systems. Simulations have been implemented to verify the performance of the proposed fuzzy adaptive controller.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2015.2396075