TY  - JOUR
T1  - A General Framework for Model Based Fault Detection of Hybrid Systems
AU - , G. K. Fourlas AU - , K. J. Kyriakopoulos AU - , N. J Krikelis 
JO  - Asian Journal of Information Technology
VL  - 3
IS  - 7
SP  - 574
EP  - 582
PY  - 2004
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2004.574.582
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2004.574.582
KW  - 
AB  - Fault detection is a challenging task in the automatic control of hybrid systems. In this work a general framework for fault detection of hybrid systems is suggested. We present a methodology for detection of faults using diagnoser. This approach is applicable to a wide rage of systems since hybrid systems involve both continuous and discrete dynamics. The states of the hybrid system model reflect the normal and the failed status of the system components. The faults in our setting are modeled as either discrete or continuous (detrimental) state changes.
ER  -