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
OpenAIRE Views
3
Publicly Funded
No
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
ORCID
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

OpenCitations Citation Count
17
Source
Information Sciences
Volume
281
Issue
Start Page
265
End Page
280
PlumX Metrics
Citations
CrossRef : 7
Scopus : 16
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Mendeley Readers : 11
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