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11 - Computer Science and Informatics
University of Hull
Reliable decentralized supervisory control of fuzzy discrete event systems
<22> Supervisory control is a key technique in dealing with large scale and complex systems with discrete events, such as in flexible manufacturing systems and distributed sensor networks. This paper reports on theoretical research about the reliability and robustness of such systems with uncertainties or even with local faults. By introducing a new co-observable language, the necessary and sufficient conditions to have a fuzzy decentralized supervisor to achieve reliable control were rigorously proved. Therefore, the synthesis problem with the failure of local supervisors was solved in theory. Jiang supervised the first author’s PhD thesis research.