Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications

DOI10.1016/j.automatica.2018.03.024zbMath1400.93297OpenAlexW2794644785MaRDI QIDQ1796981

Steven X. Ding, Ali Chibani, Naceur Benhadj Braiek, Mohammed Chadli

Publication date: 17 October 2018

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.03.024

zbMATH Keywords

LMIT-S fuzzy systemSOSfault detection filterfinite frequency domain\(H_-/H_\infty\) indexpolynomial fuzzy system

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Fuzzy control/observation systems (93C42) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36)

Related Items (10)

Adaptive fuzzy fixed time control for pure-feedback stochastic nonlinear systems with full state constraints ⋮ Event-triggered fault estimation and fault-tolerant control for networked control systems ⋮ Robust finite frequency static output feedback control for uncertain fuzzy systems via a sum‐of‐squares approach ⋮ memory fault detection filtering design for uncertain systems with finite frequency specifications ⋮ Event-triggered output feedback control design for polynomial fuzzy systems ⋮ Fault detection finite-time filter design for T-S fuzzy Markovian jump system with missing measurements ⋮ Event-triggered control for active vehicle suspension systems with network-induced delays ⋮ Disturbance-observer-based sliding mode control for T-S fuzzy discrete-time systems with application to circuit system ⋮ Decentralised event-triggered control for uncertain switched T–S fuzzy systems with asynchronous adaptive sampling communication ⋮ H_∞ fault detection for 2-D T–S discrete stochastic fuzzy systems

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