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A Framework for State Attraction of Discrete Event Systems Under Partial Observation

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Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science inc

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

112

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3

Publicly Funded

No
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Top 10%
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Top 10%
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Top 10%

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Abstract

State attraction for discrete event systems (DES) addresses the problem of reaching a desired subset of the plant state space after a bounded number of event occurrences. The problem of state attraction arises for example in fault-tolerant supervisory control or in the control of reconfigurable manufacturing systems, and is also applicable to systems biological problems such as the control of gene regulatory networks. State attraction is investigated with the assumption of full event observation in the existing literature. This paper extends the concept of state attraction to the case of partial observation. The notion of weak attraction under partial observation (WAPO) is introduced and necessary and sufficient conditions for the existence of a supervisor under partial observation that achieves WAPO are derived. Furthermore, a solution algorithm is proposed that finds such supervisor whenever it exists. It is shown that such supervisor can always be realized as a subautomaton of the observer automaton of the DES plant. An application example from systems biology illustrates the obtained results. (C) 2014 Elsevier Inc. All rights reserved.

Description

Schmidt, Ece Guran/0000-0002-4062-389X

Keywords

Discrete Event System, Supervisory Control, State Attraction, Partial Observation, supervisory control, partial observation, discrete event system, Discrete event control/observation systems, state attraction

Fields of Science

0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Schmidt, K.W., Breindl, C. (2014). A framework for state attraction of discrete event systems under partial observation. Information Sciences, 281, 265-280. http://dx.doi.org/10.1016/j.ins.2014.05.026

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
17

Source

Information Sciences

Volume

281

Issue

Start Page

265

End Page

280
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CrossRef : 7

Scopus : 16

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Mendeley Readers : 11

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