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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/6998

Title: State space approach to behavioral systems theory: the Dirac-Bergmann algorithm
Authors: SULE, VR
Keywords: linear-systems
Issue Date: 2003
Citation: SYSTEMS & CONTROL LETTERS, 50(2), 149-162
Abstract: This paper develops an approach to behavioral systems theory in which a state space representation of behaviors is utilised. This representation is a first order hybrid representation of behaviors called pencil representation. An algorithm well known after Dirac and Bergmann (DB) is shown to be central in obtaining a constraint free and observable (CFO) state space representation of a behavior. Results and criteria for asymptotic stability, controllability, inclusions and Markovianity of behaviors are derived in terms of the matrices of this representation which involve linear algebraic processes in their computation. (C) 2003
URI: http://dx.doi.org/10.1016/S0167-6911(03)00151-8
ISSN: 0167-6911
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