© 2015 Engineers Australia. This paper presents an approach for robust fault detection (FD) for discrete-time non-linear systems by employing a modified version of the unknown input observer (UIO) to form a nonlinear stochastic observer using state dependent H∞ filter (SDHF). The new Nonlinear UIO-SDHF structure for detecting faults in the presence of external disturbances and uncertainties are applied to a nonlinear biological process. Simulation results are given to show the effectiveness of the approach to discriminate disturbance and detect sensor and actuator faults.
|Number of pages||168|
|Publication status||Published - 21 Dec 2015|
|Event||2015 Australian Control Conference, AUCC 2015 - |
Duration: 21 Dec 2015 → …
|Conference||2015 Australian Control Conference, AUCC 2015|
|Period||21/12/15 → …|
All Science Journal Classification (ASJC) codes
- Building and Construction
- Mechanical Engineering
- Management, Monitoring, Policy and Law
Wahab, H. F., Katebi, R., & Hannan, M. A. (2015). Model based fault detection using unknown input observer-state dependent H<inf>∞</inf> filter. 188-193. Paper presented at 2015 Australian Control Conference, AUCC 2015, .