Non-rule based fuzzy approach for adaptive control design of nonlinear systems

Wang, Yinhe and Luo, Liang and Novaković, Branko and Kasać, Josip (2015) Non-rule based fuzzy approach for adaptive control design of nonlinear systems. = Non-rule based fuzzy approach for adaptive control design of nonlinear systems. Asian Journal of Control, 17 (2). pp. 582-591. ISSN 1561-8625. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q3 (2015). Točan broj autora: 4.

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Abstract

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.

Item Type:	Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian):	fuzzy logic systems without any rules; adaptive control
Subjects:	TECHNICAL SCIENCE > Mechanical Engineering
Divisions:	900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science:	Yes
Indexed in Current Contents:	Yes
Quartiles:	Q3 (2015)
Date Deposited:	10 May 2017 11:25
Last Modified:	14 Dec 2018 12:19
URI:	http://repozitorij.fsb.hr/id/eprint/7718

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