Stabilization for discrete-time fuzzy systems with Takagi-Sugeno's models: reduce the complexity
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Publication:543114
DOI10.1007/s11432-010-4116-4zbMath1227.93070OpenAlexW1981724176MaRDI QIDQ543114
Publication date: 17 June 2011
Published in: Science China. Information Sciences (Search for Journal in Brave)
Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-010-4116-4
Stabilization of systems by feedback (93D15) Fuzzy control/observation systems (93C42) Discrete-time control/observation systems (93C55)
Cites Work
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- Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: applications of Polya's theorem
- Robust \(H_{2}\) fuzzy output feedback control for discrete-time nonlinear systems with parametric uncertainties
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- Robust \(H_{\infty}\) control for discrete-time fuzzy systems via basis-dependent Lyapunov functions
- Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi-Sugeno's form
- Fuzzy identification of systems and its applications to modeling and control
- Nonsynchronized state estimation of discrete time piecewise linear systems
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