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Adaptive Observer-based Fast Fault Estimation  

Zhang, Ke (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics)
Jiang, Bin (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics)
Cocquempot, Vincent (University of Sciences and Technologies of Lille Villeneuve d'Ascq Cedex)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.3, 2008 , pp. 320-326 More about this Journal
Abstract
This paper studies the problem of fault estimation using adaptive fault diagnosis observer. A fast adaptive fault estimation (FAFE) approximator is proposed to improve the rapidity of fault estimation. Then based on linear matrix inequality (LMI) technique, a feasible algorithm is explored to solve the designed parameters. Furthermore, an extension to sensor fault case is investigated. Finally, simulation results are presented to illustrate the efficiency of the proposed FAFE methodology.
Keywords
Actuator and sensor fault; adaptive observer; fast fault estimation; fault diagnosis;
Citations & Related Records

Times Cited By Web Of Science : 22  (Related Records In Web of Science)
Times Cited By SCOPUS : 31
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