Abstract | ||
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This paper deals with active diagnosis for a class of switched systems which may not satisfy the classical diagnosability conditions. A Mealy Machine modeling is used to define an appropriate diagnoser which reduces the uncertain state subset. An algorithm combining the proposed diagnoser and a testing procedure is introduced to solve the fault identification problem. A study on the multicellular converter is carried out to detect and isolate faulty cells. Simulation results show the effectiveness of the proposed scheme. |
Year | DOI | Venue |
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2013 | 10.1109/CDC.2013.6760674 | CDC |
Keywords | Field | DocType |
finite state machines | Control theory,Computer science,Control engineering,Finite-state machine,Mealy machine,Parameter identification problem | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4673-5714-2 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jeremy Van Gorp | 1 | 18 | 1.87 |
Alessandro Giua | 2 | 1836 | 199.57 |
Michael Defoort | 3 | 433 | 33.97 |
M. Djemaϊ | 4 | 69 | 16.61 |