A New Sum-of-Squares Design Framework for Robust Control of Polynomial Fuzzy Systems With Uncertainties

This paper presents a new sum-of-squares (SOS, for brevity) design framework for robust control of polynomial fuzzy systems with uncertainties. Two kinds of robust stabilization conditions are derived in terms of SOS. One is global SOS robust stabilization conditions that guarantee the global and as...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2016-02, Vol.24 (1), p.94-110
Hauptverfasser:	Tanaka, Kazuo, Tanaka, Motoyasu, Chen, Ying-Jen, Wang, Hua O.
Format:	Artikel
Sprache:	eng
Schlagworte:	copositivity Fuzzy systems Lyapunov methods Manufacturing execution systems Optimization polynomial fuzzy system with uncertainty polynomial Lyapunov function Polynomials Robust control robust stabilization Robustness Stability analysis sum of squares Uncertainty
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