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Minimal Realization Problems for Jump Linear Systems

Author(s)
Sarkar, Tuhin; Roozbehani, Mardavij; Dahleh, Munther A
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
This paper addresses two fundamental problems in the context of jump linear systems (JLS). The first problem is concerned with characterizing the minimal state space dimension solely from input-output pairs and without any knowledge of the number of mode switches. The second problem is concerned with characterizing the number of discrete modes of the JLS. For the first problem, we develop a linear system theory based approach and construct an appropriate Hankel-like matrix. The rank of this matrix gives us the state space dimension. For the second problem we show that minimal number of modes corresponds to the minimal rank of a positive semi-definite matrix obtained via a non-convex formulation.
Date issued
2018-12
URI
https://hdl.handle.net/1721.1/121549
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Journal
2018 IEEE Conference on Decision and Control (CDC)
Publisher
IEEE
Citation
Sarkar, T., et al. “Minimal Realization Problems for Jump Linear Systems.” 2018 IEEE Conference on Decision and Control (CDC), Miami Beach, Florida, USA, 17-19 December 2018, IEEE, 2018, pp. 5670–75.
Version: Author's final manuscript
ISBN
9781538613955

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