By Topic

Fault Diagnosis of Hybrid Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
G. K. Fourlas ; Dept. of Informatics & Comput. Technol., Lamia Technol. Educ. Inst. ; K. J. Kyriakopoulos ; N. J. Krikelis

Fault diagnosis is a challenging task in the control of hybrid systems. In this work we present a methodology for detection and isolation of faults to hybrid control systems using a diagnoser. For this purpose a general framework is proposed. We discuss the notion of diagnosability of hybrid systems in the framework of hybrid input output automata (HIOA), imposing the conditions for a hybrid system to be diagnosable. The diagnoser is designed using hybrid structure hypothesis tests. The states of the hybrid system model reflect the normal and the failed status of the system components. This approach is applicable to a wide range of real systems since hybrid systems involve both continuous and discrete dynamics

Published in:

Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005.

Date of Conference:

27-29 June 2005