H∞ control for descriptor systems: a matrix inequalities approach
Automatica (Journal of IFAC)
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Singular Control Systems
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
State/noise estimator for descriptor systems with application to sensor fault diagnosis
IEEE Transactions on Signal Processing
Fault diagnosis of differential-algebraic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Process fault detection based on modeling and estimation methods-A survey
Automatica (Journal of IFAC)
Sliding mode observers for fault detection and isolation
Automatica (Journal of IFAC)
On synchronization of coupled neural networks with discrete and unbounded distributed delays
International Journal of Computer Mathematics - COMPLEX NETWORKS
ACC'09 Proceedings of the 2009 conference on American Control Conference
Fault coverage modeling in nonlinear dynamical systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
For Lipschitz nonlinear descriptor systems with bounded input disturbances, by solving a Lyapunov equation, a robust state-space observer is proposed to simultaneously estimate descriptor system states, actuator faults, their finite times derivatives, and attenuate input disturbances in any desired accuracy. The considered faults can be unbounded (provided that their qth derivatives are bounded), the present fault estimation approaches can handle a large class of faults. By using the estimates of descriptor states and faults, and the linear matrix inequality (LMI) technique, a fault-tolerant control scheme is worked out. The nonlinear fault-tolerant control system can be made solvable, causal, asymptotically stable, and attenuate input uncertainties in terms of the prescribed performance index. Only original coefficient matrices are used in the proposed state-space observers and fault-tolerant controllers; therefore, the present design approaches are preferable in applications. Finally, a numerical example is given to illustrate the design procedure and simulations demonstrate the efficiency of the proposed design.