Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Issues of Fault Diagnosis for Dynamic Systems
Issues of Fault Diagnosis for Dynamic Systems
Stability and L2-gain analysis for switched delay systems: A delay-dependent method
Automatica (Journal of IFAC)
Robust Control for Networked Systems With Random Packet Losses
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability Analysis for Linear Switched Systems With Time-Varying Delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fault Detection for Uncertain Fuzzy Systems: An LMI Approach
IEEE Transactions on Fuzzy Systems
Brief An LMI approach to design robust fault detection filter for uncertain LTI systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
H∞ fault detection for nonlinear networked systems with multiple channels data transmission pattern
Information Sciences: an International Journal
Stabilization for switched stochastic neutral systems under asynchronous switching
Information Sciences: an International Journal
Asynchronous H∞ filtering for switched stochastic systems with time-varying delay
Information Sciences: an International Journal
Improved results on stability of continuous-time switched positive linear systems
Automatica (Journal of IFAC)
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This correspondence deals with the problem of robust fault detection for discrete-time switched systems with state delays under an arbitrary switching signal. The fault detection filter is used as the residual generator, in which the filter parameters are dependent on the system mode. Attention is focused on designing the robust fault detection filter such that, for unknown inputs, control inputs, and model uncertainties, the estimation error between the residuals and faults is minimized. The problem of robust fault detection is converted into an H∞-filtering problem. By a switched Lyapunov functional approach, a sufficient condition for the solvability of this problem is established in terms of linear matrix inequalities. A numerical example is provided to demonstrate the effectiveness of the proposed method.