Dissipative-based non-fragile filtering for fuzzy networked control systems with switching communication channels

DOI10.1016/j.amc.2019.125011zbMath1433.93140OpenAlexW2998813845MaRDI QIDQ2293928

V. Nithya, Faris Alzahrani, Ramalingam Sakthivel, Rathinasamy Sakthivel

Publication date: 5 February 2020

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2019.125011

zbMATH Keywords

nonlinear networked control systemsdiscrete-time T-S fuzzy systemsrandomly occurring uncertaintiesdissipativity-based non-fragile filteringswitching communication channels

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Channel models (including quantum) in information and communication theory (94A40)

Related Items (9)

Observer-based sliding mode control for fuzzy stochastic switching systems with deception attacks ⋮ PI-type event-triggered \(H_\infty\) filter for networked T-S fuzzy systems using affine matched membership function approach ⋮ \(H_\infty\) filtering for switched systems subject to stochastic cyber attacks: a double adaptive storage event-triggering communication ⋮ Dissipative filtering for singular Markovian jump systems with generally hybrid transition rates ⋮ Outlier-resistant bserver-based \(H_\infty\) PID control under stochastic communication protocol ⋮ Fuzzy filtering based on decentralized adaptive event-triggered scheme for networked interconnected systems ⋮ Model predictive control for switched systems with a novel mixed time/event-triggering mechanism ⋮ Robust \( H_{\infty}\) resilient event-triggered control design for T-S fuzzy systems ⋮ Extended dissipative analysis for T–S fuzzy system with sampled-data input and actuator fault

Cites Work

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