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On most permissive observers in dynamic sensor optimization problems for discrete event systems | IEEE Conference Publication | IEEE Xplore

On most permissive observers in dynamic sensor optimization problems for discrete event systems


Abstract:

This paper considers the problem of dynamic sensor selection under the constraint of maintaining the property of K-diagnosability. We use an information-state-based appro...Show More

Abstract:

This paper considers the problem of dynamic sensor selection under the constraint of maintaining the property of K-diagnosability. We use an information-state-based approach to define the most permissive observer, a structure introduced in prior work that provides all feasible solutions for the controller (i.e., for sensor selections). The principal result of this paper is that the information-state-based controller results in no loss of generality relative to any other admissible controller.
Date of Conference: 29 September 2010 - 01 October 2010
Date Added to IEEE Xplore: 04 February 2011
ISBN Information:
Conference Location: Monticello, IL, USA

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