Automatica (Journal of IFAC)
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Observer-based Fault Detection and Isolation for 2D State-space Models
Multidimensional Systems and Signal Processing
Fuzzy filter design for itô stochastic systems with application to sensor fault detection
IEEE Transactions on Fuzzy Systems
Fault detection for fuzzy systems with intermittent measurements
IEEE Transactions on Fuzzy Systems
Brief An LMI approach to design robust fault detection filter for uncertain LTI systems
Automatica (Journal of IFAC)
Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty
Automatica (Journal of IFAC)
Technical Communique: A frequency domain approach to fault detection in sampled-data systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical communique: Norm invariant discretization for sampled-data fault detection
Automatica (Journal of IFAC)
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This article investigates the problem of fault detection for continuous time systems with network communication links. A network communication channel is assumed to be existing between the plant and the fault detection filter, and three types of incomplete measurements which typically appear in a network environment are simultaneously addressed, including measurement quantisation effect, signal transmission delay and data packet dropout. A mathematical model is presented to account for those issues in a unified form. Based on that, a full-order fault detection filter is designed such that the residual system is asymptotically stable and preserves a guaranteed performance. A sufficient condition of the existence of the fault detection filter is obtained and all the results are formulated in the form of linear matrix inequalities, which can be readily solved via standard numerical software. Finally, a simulation example is provided to illustrate the usefulness of the developed theoretical results.