Norm invariant discretization for sampled-data fault detection

DOI10.1016/J.AUTOMATICA.2005.03.028zbMath1086.93040OpenAlexW1978622054MaRDI QIDQ2576123

Qing Zhao, Iman Izadi, Tongwen Chen

Publication date: 8 December 2005

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2005.03.028

Mathematics Subject Classification ID

(H^infty)-control (93B36) Sampled-data control/observation systems (93C57)

Related Items (11)

An output delay approach to fault estimation for sampled-data systems ⋮ Analysis of performance criteria in sampled-data fault detection ⋮ Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer ⋮ Discrete time-varying fault detection filter for non-uniformly sampled-data systems ⋮ Passivity-based non-fragile control for Markovian jump systems with aperiodic sampling ⋮ Passivity-based non-fragile control for Markovian jump delayed systems via stochastic sampling ⋮ Robust fault detection with missing measurements ⋮ Fault detection filter design for data reconstruction-based continuous-time networked control systems ⋮ Fault accommodation for multi‐input linear sampled‐data systems ⋮ Fault detection with network communication ⋮ Detecting scalar intermittent faults in linear stochastic dynamic systems

Cites Work

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• On a key sampling formula relating the Laplace and \({\mathcal Z}\) transforms
• Frequency domain approach to optimally robust residual generation and evaluation for model-based fault diagnosis
• A frequency domain approach to fault detection in sampled-data systems.
• Optimal sampled-data control systems
• A unified approach to the optimization of fault detection systems
• FR-operator approach to the H/sub 2/ analysis and synthesis of sampled-data systems

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