2014
DOI: 10.1016/j.ins.2014.05.026
|View full text |Cite
|
Sign up to set email alerts
|

A framework for state attraction of discrete event systems under partial observation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(9 citation statements)
references
References 45 publications
0
9
0
Order By: Relevance
“…Therefore, there exists a supremal controllable and observable sublanguage when Σ c ⊆ Σ o . It was also reported in [20] (respectively, [17] and [9]) that, under the assumption that Σ c ⊆ Σ o , there exists a supremal controlable, observable and diagnosable (respectively, opaque and attractable) sublanguage. In fact, we can prove the corresponding general result for any IS-based property in our framework.…”
Section: B Case Of σ C ⊆ σ Omentioning
confidence: 90%
See 3 more Smart Citations
“…Therefore, there exists a supremal controllable and observable sublanguage when Σ c ⊆ Σ o . It was also reported in [20] (respectively, [17] and [9]) that, under the assumption that Σ c ⊆ Σ o , there exists a supremal controlable, observable and diagnosable (respectively, opaque and attractable) sublanguage. In fact, we can prove the corresponding general result for any IS-based property in our framework.…”
Section: B Case Of σ C ⊆ σ Omentioning
confidence: 90%
“…In [21], the author studied the problem of synthesizing a supervisor that enforces detectability. The enforcement of attractability was studied in [7], [8] for the fully-observed case and more recently in [9] under the partial observation assumption.…”
Section: Previous Assumptionsmentioning
confidence: 99%
See 2 more Smart Citations
“…Another notion of stability called languagestability was proposed in [7], where stability of the system is defined in term of its behavior. The stabilization problem under partial observation was studied in [9]. The concept of stabilization can be applied to many fields, including faulttolerant control [10], the control of reconfigurable manufacturing systems [11], [12], and the control of gene regulatory networks in systems biology [9].…”
Section: Introductionmentioning
confidence: 99%