Multiobjective tracking control design of T–S fuzzy systems: Fuzzy Pareto optimal approach

In this study, a multiobjective fuzzy control design method is introduced for nonlinear dynamic systems to guarantee the optimal H2 and H∞ reference tracking performance simultaneously. First, the Takagi and Sugeno (T–S) fuzzy model is used to represent the nonlinear dynamic system. Then, based on t...

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Veröffentlicht in:	Fuzzy sets and systems Jg. 290; S. 39 - 55
Hauptverfasser:	Chen, Bor-Sen, Ho, Shih-Ju
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2016
Schlagworte:	[formula omitted] tracking control design Design engineering Dynamical systems Fuzzy Fuzzy control Fuzzy systems Linear matrix inequality (LMI) Multiobjective fuzzy tracking control Non-dominating sorting scheme Nonlinear dynamics Optimization Pareto optimal solution Tracking control T–S fuzzy control Pareto optimal solution H2/H∞ tracking control design T–S fuzzy control Linear matrix inequality (LMI) Non-dominating sorting scheme Multiobjective fuzzy tracking control
ISSN:	0165-0114, 1872-6801
Online-Zugang:	Volltext
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