Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems

Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems

A novel adaptive control approach is presented using extended fuzzy logic systems without any rules. First, the extended fuzzy logic systems without any rules are used to approximate the uncertainties. Then the sliding mode controllers via the proposed extended fuzzy logic systems without any rules...

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Veröffentlicht in:Asian journal of control 2015-03, Vol.17 (2), p.582-591
Hauptverfasser: Wang, Yinhe, Luo, Liang, Novakovic, Branko, Kasac, Josip
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Sprache:eng
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adaptive control
Fuzzy logic
Fuzzy logic systems without any rules
Nonlinear systems
UUB
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container_title Asian journal of control
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creator Wang, Yinhe
Luo, Liang
Novakovic, Branko
Kasac, Josip
description A novel adaptive control approach is presented using extended fuzzy logic systems without any rules. First, the extended fuzzy logic systems without any rules are used to approximate the uncertainties. Then the sliding mode controllers via the proposed extended fuzzy logic systems without any rules are proposed for uniformly ultimately bounded (UUB) nonlinear systems. The adaptive laws are used for estimating the approximation accuracies of fuzzy logic systems without any rules, Lipschitz constants of uncertain functions and scalar factor, respectively, which are not directly to estimate the coefficients of basis functions. Finally, a compared simulation example is utilized to demonstrate the effectiveness of the approach proposed in this paper.
doi_str_mv 10.1002/asjc.893
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subjects adaptive control
Fuzzy logic
Fuzzy logic systems without any rules
Nonlinear systems
UUB
title Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems
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