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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/14047
Title: Symbolic Decentralized Supervisory Control
Authors: Agarwal, Urvashi
Advisor: Leduc, R. J.
Ricker, Laurie
Mohrenschildt, M. V.
Department: Computing and Software
Keywords: Discrete Event Systems;Decentralized Supervisory Control;State-based co-observability;SB co-observability;Algorithms;Computational complexity;Binary Decision Diagrams;Controls and Control Theory;Controls and Control Theory
Publication Date: Apr-2014
Abstract: <p>A decentralized discrete-event system (DES) consists of supervisors that are physically distributed. Co-observability is one of the necessary and sufficient conditions for the existence of a decentralized supervisors that correctly solve the control problem. In this thesis we present a state-based definition of co-observability and introduce algorithms for its verification. Existing algorithms for the verification of co-observability do not scale well, especially when the system is composed of many components. We show that the implementation of our state-based definition leads to more efficient algorithms.</p> <p>We present a set of algorithms that use an existing structure for the verification of state-based co-observability (SB Co-observability). A computational complexity analysis of the algorithms show that the state-based implementation of algorithms result in quadratic complexity. Further improvements come from using a more compact way of representing finite-state machines namely Binary Decision Diagrams (BDD).</p>
URI: http://hdl.handle.net/11375/14047
Identifier: opendissertations/8876
9947
5406922
Appears in Collections:Open Access Dissertations and Theses

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