Reduced-order ℓ2-ℓ∞filtering for discrete-time T-S fuzzy systems with stochastic perturbation

DOI10.1080/00207721.2013.775393zbMath1316.93115OpenAlexW2143967599WikidataQ57589575 ScholiaQ57589575MaRDI QIDQ5265590

Tong Peng, Baojun Pang, Li-Gang Wu, Xiaozhan Yang

Publication date: 28 July 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.775393

zbMATH Keywords

Takagi-Sugeno (T-S) fuzzy systemsreduced-order filterconvex linearizationprojection lemma\(\ell_{2}\)-\(\ell_{\infty}\) filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Discrete-time control/observation systems (93C55) Linearizations (93B18)

Related Items (6)

Basis-dependent and delay-dependent results on robust \(L_1\) filtering for networked control systems ⋮ Delay-dependent \(H_\infty\) filtering for discrete-time fuzzy stochastic systems with mixed delays and sector-bounded nonlinearity ⋮ Event‐triggered dynamic output feedback control for networked nonlinear systems ⋮ Finite-time stabilisation for discrete-time T–S fuzzy model system with channel fading and two types of parametric uncertainty ⋮ Reduced-order filter design of T-S fuzzy stochastic systems with time-varying delay ⋮ L₂ – L_∞ reduced-order filter design for T-S fuzzy stochastic discrete systems

Cites Work

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