Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
RFDF design for linear time-delay systems with unknown inputs and parameter uncertainties
International Journal of Systems Science
Brief paper: Observer design and fault diagnosis for state-retarded dynamical systems
Automatica (Journal of IFAC)
Detection filter design for LPV systems-a geometric approach
Automatica (Journal of IFAC)
Hi-index | 22.14 |
This paper investigates the development of Fault Detection and Isolation (FDI) filters for both retarded and neutral time-delay systems with unknown time-varying delays. Using a geometric framework, the notion of a finite unobservability subspace is introduced for time-delay systems and an algorithm for its construction is presented. A bank of residual generators is then designed so that each residual is affected by one fault and is partially decoupled from the others while the H"~ norm of the transfer function between the disturbances and the uncertainties in delays and the residuals are guaranteed to remain less than a prescribed value. Furthermore, it is shown that in the case of known delays it is possible to generate residuals that enjoy perfect decoupling properties among faults. Simulation results presented demonstrate the effectiveness of our proposed FDI algorithms.