Research Repository

Fault Identification for Nonlinear Switched Systems: Average Dwell Time Approach

Du, Dongsheng, Jiang, Bin and Shi, Peng (2011) Fault Identification for Nonlinear Switched Systems: Average Dwell Time Approach. In: 2011 30th Chinese Control Conference (CCC 2011). IEEE, United States, pp. 4151-4155.

Full text for this resource is not available from the Research Repository.

Abstract

This paper investigates process fault identification for continuous-time nonlinear switched systems. A novel fault estimation algorithm, based on an adaptive fault diagnosis observer and average dwell time technique, is first proposed. In terms of linear matrix inequality, sufficient condition for the existence of the adaptive observer is derived. Simulation results are presented to illustrate the efficiency of the proposed results.

Item Type: Book Section
ISBN: 9781457706776 (print) 9789881725592 (online) 1934-1768 (ISSN)
Additional Information:

Proceedings of a meeting held 22-24 July 2011, Yantai, China

Uncontrolled Keywords: ResPubID25052, average dwell time, fault identification, nonlinear switched systems
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0802 Computation Theory and Mathematics
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Related URLs:
Depositing User: VUIR
Date Deposited: 14 Feb 2013 04:57
Last Modified: 14 Feb 2013 04:57
URI: http://vuir.vu.edu.au/id/eprint/10563
ePrint Statistics: View download statistics for this item
Citations in Scopus: 2 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar