Fault-tolerant H∞ filtering for fuzzy networked control systems with quantisation effects

DOI10.1080/00207721.2020.1752416zbMath1483.93137OpenAlexW3017591400MaRDI QIDQ5026721

V. Nithya, Faris Alzahrani, Yong-Ki Ma, Rathinasamy Sakthivel

Publication date: 8 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2020.1752416

zbMATH Keywords

networked control systemsdiscrete-time T-S fuzzy systemsquantisationfinite-time reliable filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Networked control (93B70)

Related Items (2)

Membership-function-dependent memory controller design for interval type-2 fuzzy systems under fading channels ⋮ Event-triggered output-based control of T-S fuzzy systems under quantisation, actuator saturation and cyber attacks

Cites Work

• Robust exponential \(H_\infty\) filtering for discrete-time switched fuzzy systems with time-varying delay
• T-S fuzzy-model-based robust stabilization for a class of nonlinear discrete-time networked control systems
• Non-fragile finite-time \(H_\infty\) state estimation of neural networks with distributed time-varying delay
• RobustH_∞networked control for discrete-time fuzzy systems with state quantisation
• H _∞ filtering for singular systems with time-varying delay
• Reliable H_∞ filter design for T–S fuzzy model‐based networked control systems with random sensor failure
• Finite-time mixed H_∞ and passive filtering for Takagi–Sugeno fuzzy nonhomogeneous Markovian jump systems

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