Multiobjective H2/H∞ Control Design for Nonlinear Stochastic Chaotic Systems via a Front-Squeezing LMIs-Constrained MOEA

This study proposes the multiobjective H 2 / H ∞ fuzzy control design for a nonlinear stochastic chaotic system via concurrently optimizing H 2 and H ∞ performance indices in a Pareto optimal sense. Using the Takagi–Sugeno fuzzy model to approximate the nonlinear stochastic chaotic system, the multi...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 23; H. 8; S. 2371 - 2383
Hauptverfasser:	Wu, Chien-Feng, Hsu, Chun-Fei, Hwang, Chi-Kuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2021 Springer Nature B.V
Schlagworte:	Algebra Artificial Intelligence Chaos theory Compressing Computational Intelligence Computing costs Controllers Design Engineering Evolutionary algorithms Fuzzy control H-infinity control Linear matrix inequalities Management Science Mathematical analysis Multiple objective analysis Nonlinear control Operations Research Optimization Parents & parenting Pareto optimization Pareto optimum Performance indices Multiobjective Pareto optimal solution control Takagi–Sugeno fuzzy model Front-squeezing linear matrix inequalities-constrained multiobjective evolution algorithm
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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