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Covering-based supervisory control of partially observed discrete event systems for state avoidance

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3 Author(s)
Hill, R.C. ; Michigan Univ., Ann Arbor, MI ; Tilbury, D.M. ; Lafortune, S.

In this work we present a new polynomial complexity approach to state avoidance for nondeterministic and partially observed discrete event systems. Our approach generates control based on a covering of the system state space that identifies overlapping sets of indistinguishable states. This approach is shown to be more permissive than existing state-feedback control techniques.

Published in:

Discrete Event Systems, 2008. WODES 2008. 9th International Workshop on

Date of Conference:

28-30 May 2008

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