Abstract
In this paper, the fault diagnosis problem for a class of bilinear systems with uncertainty is discussed. The systems are transformed into two different subsystems. One is not affected by actuator fault, so the robust reduced order observer can be designed such that, under certain conditions, the observer error dynamics is completely independent of the inputs. The other whose states can be measured is affected by the faults. The observation scheme is then used for model-based monitoring and fault diagnosis. More specifically, a simple approach for fault detection and isolation (FDI) of actuator fault is presented. Finally, an example of a semiactive suspension system is used to illustrate the applicability of proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 4499-4504 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 5 |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: 7 Dec 1999 → 10 Dec 1999 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Control and Optimization
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Jiang, B., Wang, J. L., & Soh, Y. C. (1999). Robust fault diagnosis for a class of bilinear systems with uncertainty. Proceedings of the IEEE Conference on Decision and Control, 5, 4499-4504.