A frequency domain approach to fault detection in sampled-data systems.

DOI10.1016/S0005-1098(03)00106-7zbMath1139.93336OpenAlexW1989644814MaRDI QIDQ1398417

D. Massart

Publication date: 29 July 2003

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(03)00106-7

zbMATH Keywords

RobustnessFault detectionSampled-data systemsFrequency domain approachResidual generation

Mathematics Subject Classification ID

Frequency-response methods in control theory (93C80) Sampled-data control/observation systems (93C57)

Related Items (10)

An output delay approach to fault estimation for sampled-data systems ⋮ Neural network-based event-triggered fault detection of discrete-time nonlinear uncertain systems ⋮ Discrete time-varying fault detection filter for non-uniformly sampled-data systems ⋮ Fault detection for network control systems with multiple communication delays and stochastic missing measurements ⋮ Generalised finite-frequency KYP lemma in delta domain and applications to fault detection ⋮ Fault accommodation for multi‐input linear sampled‐data systems ⋮ H_∞Fault Detection for Two-Dimensional T-S Fuzzy Systems in FM Second Model ⋮ Fault detection with network communication ⋮ Fault detection for T-S fuzzy systems with past output measurements ⋮ Norm invariant discretization for sampled-data fault detection

Cites Work

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• Frequency domain approach to optimally robust residual generation and evaluation for model-based fault diagnosis
• Computer controlled systems. Analysis and design with process-orientated models
• Optimal sampled-data control systems
• Enhancement of robustness in observer-based fault detection†

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