Title :
Decentralized fault detection for a class of large-scale nonlinear uncertain systems
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
fDate :
June 30 2010-July 2 2010
Abstract :
In this paper, a decentralized fault detection scheme is developed for a class of distributed large-scale nonlinear uncertain systems. For each subsystem in the large-scale system, a fault detection estimator is designed by utilizing local measurements and certain communicated information from interconnected subsystems. Under certain assumptions, adaptive threshold for fault detection in each local subsystem is derived, and the robustness property of the decentralized fault detection scheme is investigated. A simulation example of automated highway systems is used to illustrate the effectiveness of the proposed method.
Keywords :
automated highways; decentralised control; fault diagnosis; large-scale systems; nonlinear control systems; robust control; uncertain systems; automated highway systems; decentralized fault detection; distributed large-scale nonlinear uncertain systems; fault detection estimator; interconnected subsystems; Automated highways; Electrical fault detection; Fault detection; Fault diagnosis; Large-scale systems; Nonlinear dynamical systems; Power system reliability; Robustness; Telecommunication network reliability; Uncertain systems;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531043
