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Supervisor Localization: A Top-Down Approach to Distributed Control of Discrete-Event Systems

AIP Conf. Proc. -- March 5, 2009 -- Volume 1107, pp. 302-308
INTELLIGENT SYSTEMS AND AUTOMATION: 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA'09); doi:10.1063/1.3106490

Issue Date: 5 March 2009

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K. Caia and W. M. Wonhama
aSystems Control Group, Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, ON, M5S 3G4, Canada
A purely distributed control paradigm is proposed for discrete-event systems (DES). In contrast to control by one or more external supervisors, distributed control aims to design built-in strategies for individual agents. First a distributed optimal nonblocking control problem is formulated. To solve it, a top-down localization procedure is developed which systematically decomposes an external supervisor into local controllers while preserving optimality and nonblockingness. An efficient localization algorithm is provided to carry out the computation, and an automated guided vehicles (AGV) example presented for illustration. Finally, the `easiest' and `hardest' boundary cases of localization are discussed. ©2009 American Institute of Physics
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KEYWORDS and PACS

Keywords
PACS
  • 84.35.+i
    Neural networks (circuit implementations)
  • 07.05.Mh
    Neural networks, fuzzy logic, artificial intelligence in physics
  • 45.40.Ln
    Robotics (dynamics/kinematics)
  • YEAR: 2009

PUBLICATION DATA

ISSN:
0094-243X (print)  
Publisher:
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