Robust Quadratic-Optimal Control of TS-Fuzzy-Model-Based Dynamic Systems With Both Elemental Parametric Uncertainties and Norm-Bounded Approximation Error

This paper considers the design problem of the robust quadratic-optimal parallel-distributed-compensation (PDC) controllers for Takagi-Sugeno (TS) fuzzy-model-based control systems with both elemental parametric uncertainties and norm-bounded approximation error. By complementarily fusing the robust...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 17; H. 3; S. 518 - 531
Hauptverfasser:	Ho, Wen-Hsien, Tsai, Jinn-Tsong, Chou, Jyh-Horng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Approximation error Control systems Controllers Design engineering Dynamical systems Dynamics Errors Genetic algorithms Hybrid Taguchi-genetic algorithm (HTGA) Linear matrix inequalities linear matrix inequalities (LMIs) Mathematical analysis orthogonal functions approach (OFA) Performance analysis quadratic-optimal control Robust control robust stabilizability Robustness Studies Takagi-Sugeno (TS) fuzzy model Takagi-Sugeno model Uncertainty Takagi-Sugeno fuzzy model hybrid Taguchi-genetic algorithm quadratic optimal control robust stabilizability orthogonal-funcations approach linear matrix inequalities
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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