Fault Identification for Nonlinear Switched Systems: Average Dwell Time Approach

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

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.

Additional Information

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

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/10563
Official URL https://ieeexplore.ieee.org/document/6000367
ISBN 9781457706776 (print) 9789881725592 (online) 1934-1768 (ISSN)
Subjects Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Current > FOR Classification > 0802 Computation Theory and Mathematics
Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Keywords ResPubID25052, average dwell time, fault identification, nonlinear switched systems
Citations in Scopus 3 - View on Scopus
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