Robust and optimal control
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Sliding mode observers for fault detection and isolation
Automatica (Journal of IFAC)
Brief Sliding mode observers for detection and reconstruction of sensor faults
Automatica (Journal of IFAC)
Resolving actuator redundancy-optimal control vs. control allocation
Automatica (Journal of IFAC)
Sensor diagnosis and state estimation for a class of skew symmetric time-varying systems
Automatica (Journal of IFAC)
Insensitive reliable H∞ filtering against sensor failures
Information Sciences: an International Journal
| Hi-index | 22.15 |
This paper proposes a new method for the analysis and design of sliding mode observers for sensor fault reconstruction. The proposed scheme addresses one of the restrictions inherent in other sliding mode estimation approaches for sensor faults in the literature (which effectively require the open-loop system to be stable). For open-loop unstable systems, examples can be found, for certain combinations of sensor faults, for which existing sliding mode and unknown input linear observer schemes cannot be employed, to reconstruct faults. The method proposed in this paper overcomes these limitations. Simulation results demonstrate the effectiveness of the design framework proposed in the paper.