New approaches to observer design and stability analysis for T-S fuzzy system with multiplicative noise

DOI10.1016/j.jfranklin.2016.11.001zbMath1355.93104OpenAlexW2554850856MaRDI QIDQ509363

Ling Huang, Cheng-Chew Lim, Wen-Bo Xie, Jian Zhang

Publication date: 9 February 2017

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.11.001

zbMATH Keywords

convex optimizationstability analysisobserver designmultiplicative noiseT-S fuzzy systemfuzzy Lyapunov function

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Observability (93B07) Stochastic stability in control theory (93E15)

Related Items (5)

Functional observer based controller for stabilizing Takagi-Sugeno fuzzy systems with time-delays ⋮ Adaptive fuzzy output feedback and command filtering error compensation control for permanent magnet synchronous motors in electric vehicle drive systems ⋮ Imperfect premise matching finite-time filter design for continuous-time Takagi-Sugeno fuzzy systems ⋮ Observer-based output feedback fuzzy control for nonlinear parabolic PDE-ODE coupled systems ⋮ \(H_\infty\) reduced-order observer-based controller synthesis approach for T-S fuzzy systems

Cites Work

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• Adaptive observers for TS fuzzy systems with unknown polynomial inputs
• A membership-function-dependent approach for stability analysis and controller synthesis of Takagi-Sugeno models
• On the design of observer-based fuzzy adaptive controller for nonlinear systems with unknown control gain sign
• Observer design for Takagi-Sugeno descriptor models: an LMI approach
• Passive fuzzy controller design for nonlinear systems with multiplicative noises
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• Network-based \(H_{\infty}\) output feedback control for uncertain stochastic systems
• Dissipativity-Based Filtering for Fuzzy Switched Systems With Stochastic Perturbation
• Fuzzy identification of systems and its applications to modeling and control

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