Title :
Trajectory-based observer for hybrid automata fault diagnosis
Author :
Yi Deng;Alessandro D´Innocenzo;A. Agung Julius
Author_Institution :
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, NY 12180, United States
Abstract :
A method for constructing state observers for hybrid automata is proposed. The approach is trajectory-based. So it does not require the system to be fully observable. The discrete and continuous states of the system can be estimated constantly. We present implementation of the observer, and its application to fault diagnosis problem of hybrid automata.
Keywords :
"Trajectory","Observers","Automata","Robustness","Fault diagnosis","Observability"
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
DOI :
10.1109/CDC.2015.7401994