Abstract

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

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.