A fault detection and isolation filter design method for Markov jump linear parameter‐varying systems

DOI10.1002/acs.1261zbMath1401.93200OpenAlexW2059501122MaRDI QIDQ4908468

Gianfranco Gagliardi, Domenico Famularo, Alessandro Casavola

Publication date: 6 March 2013

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.1261

zbMATH Keywords

linear matrix inequalitiesstochastic stabilitylinear parameter-varying systemsMarkovian jump systemsrobust fault detection and isolation

Mathematics Subject Classification ID

Related Items (10)

Parameter-dependent Lyapunov function based fault estimation and fault-tolerant control for LPV systems ⋮ Active fault tolerant control systems by the semi‐Markov model approach ⋮ Fault detection filter design for a class of nonlinear Markovian jumping systems with mode-dependent time-varying delays ⋮ Zonotopic fault detection for discrete-time systems with limited communication capability and sensor nonlinearity ⋮ Parameter identification of a class of nonlinear systems based on the multi-innovation identification theory ⋮ Fault detection for LPV systems using model parameters that can be estimated via linear least squares ⋮ Asynchronous output feedback control of time-varying Markovian jump systems within a finite-time interval ⋮ Fast Switching Detector-Based $H_2$ Control of Markov Jump Linear Systems with Multiplicative Noises ⋮ Finite-horizon suboptimal control of Markov jump linear parameter-varying systems ⋮ Threshold computation for fault detection in linear discrete-time Markov jump systems

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• Observer design with guaranteed RMS gain for discrete-time LPV systems with Markovian jumps
• Stochastic stability analysis for continuous-time fault tolerant control systems
• On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
• Variance-constrained filtering for uncertain stochastic systems with missing measurements
• Exponential stability of stochastic delay interval systems with Markovian switching

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