Further results on robust fuzzy dynamic systems with LMI D-stability constraints

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Author listAssawinchaichote W.

PublisherSciendo

Publication year2014

JournalInternational Journal of Applied Mathematics and Computer Science (1641-876X)

Volume number24

Issue number4

Start page785

End page794

Number of pages10

ISSN1641-876X

eISSN2083-8492

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84921757965&doi=10.2478%2famcs-2014-0058&partnerID=40&md5=1ae31822eab177791d9cb420717c740f

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

This paper examines the problem of designing a robust H∞ fuzzy controller with D-stability constraints for a class of nonlinear dynamic systems which is described by a Takagi-Sugeno (TS) fuzzy model. Fuzzy modelling is a multi-model approach in which simple sub-models are combined to determine the global behavior of the system. Based on a linear matrix inequality (LMI) approach, we develop a robust H∞ fuzzy controller that guarantees (i) the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value, and (ii) the closed-loop poles of each local system to be within a specified stability region. Sufficient conditions for the controller are given in terms of LMIs. Finally, to show the effectiveness of the designed approach, an example is provided to illustrate the use of the proposed methodology. © 2015 by Wudhichai Assawinchaichote.


Keywords

D-stabilityfuzzy controllerLMI approachrobust H∞ controlTakagi-Sugeno fuzzy model


Last updated on 2023-03-10 at 07:35