Interval type-2 fuzzy tracking control for nonlinear systems via sampled-data controller

This paper addresses an interval type-2 (IT2) fuzzy sampled-data tracking control problem of nonlinear systems subject to uncertain parameters. The controlled plant is modeled as Takagi–Sugeno (T–S) fuzzy structure, where the parameter uncertainties are captured effectively by the lower and upper me...

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Bibliographic Details
Published inFuzzy sets and systems Vol. 356; pp. 92 - 112
Main Authors Du, Zhenbin, Yan, Zhenzheng, Zhao, Zhen
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2019
Subjects
Fuzzy system
Parameter uncertainties
Sampled-data
Tracking control
Fuzzy system
Tracking control
Parameter uncertainties
Sampled-data
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ISSN0165-0114
1872-6801
DOI10.1016/j.fss.2018.02.013

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Summary:This paper addresses an interval type-2 (IT2) fuzzy sampled-data tracking control problem of nonlinear systems subject to uncertain parameters. The controlled plant is modeled as Takagi–Sugeno (T–S) fuzzy structure, where the parameter uncertainties are captured effectively by the lower and upper membership functions. By means of the linear matrix inequalities (LMIs) and free-weighting matrices, an IT2 fuzzy sampled-data control scheme is developed such that the system states are driven to track those of the reference model. Finally, an inverted pendulum system and a mass–spring–damper mechanical system are used to show the efficiency of the suggested tracking control design.
ISSN:0165-0114
1872-6801
DOI:10.1016/j.fss.2018.02.013