Abstract
In this paper we address the problem of Simultaneous Fault Detection and Consensus Control (SFDDC) in linear multi-agent systems with the fault signal happening randomly. A distributed detection filter is proposed. All agents reach a state consensus while detecting fault in themselves and each other by sharing their information. The fault signal is considered as a Markov process chain. To determine filter parameters, Linear Matrix inequalities(LMI) have been introduced and in the end, a numerical consensus problem of a multi-agent system has been solved.
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 callDisclaimer: 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.
