Model based fault detection using unknown input observer-state dependent H<inf>∞</inf> filter

H. F. Wahab, R. Katebi, M. A. Hannan

Research output: Contribution to conferencePaper

Abstract

© 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.
Original languageEnglish
Pages188-193
Number of pages168
Publication statusPublished - 21 Dec 2015
Externally publishedYes
Event2015 Australian Control Conference, AUCC 2015 -
Duration: 21 Dec 2015 → …

Conference

Conference2015 Australian Control Conference, AUCC 2015
Period21/12/15 → …

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

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, .