Approximating the minimal sensor selection for supervisory control

Samir Khuller; Guy Kortsarz; Kurt R. Rohloff

doi:10.1016/S1474-6670(17)30727-9

Approximating the minimal sensor selection for supervisory control

Samir Khuller, Guy Kortsarz, Kurt R. Rohloff

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper discusses the problem of selecting a set of sensors of minimum cardinality that can be used for the synthesis of a supervisory controller.We show how this sensor selection problem is related to a type of directed graph st-cut problem that has not been previously discussed in the literature. Approximation algorithms to solve the sensor selection problem can be used to solve the graph cut problem and vice-versa. Polynomial time algorithms to find good approximate solutions to either problem most likely do not exist (under certain complexity assumptions), but a time efficient approximation algorithm is shown that solves a special case of these problems.

Original language	English (US)
Pages (from-to)	87-92
Number of pages	6
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	37
Issue number	18
DOIs	https://doi.org/10.1016/S1474-6670(17)30727-9
State	Published - 2004
Externally published	Yes
Event	7th International Workshop on Discrete Event Systems, WODES 2004 - Reims, France Duration: Sep 22 2004 → Sep 24 2004

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

Keywords

Approximation algorithms
Computer-aided control system design
Discrete-event systems. supervisory control graph theory
Observers

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10.1016/S1474-6670(17)30727-9

Cite this

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title = "Approximating the minimal sensor selection for supervisory control",

abstract = "This paper discusses the problem of selecting a set of sensors of minimum cardinality that can be used for the synthesis of a supervisory controller.We show how this sensor selection problem is related to a type of directed graph st-cut problem that has not been previously discussed in the literature. Approximation algorithms to solve the sensor selection problem can be used to solve the graph cut problem and vice-versa. Polynomial time algorithms to find good approximate solutions to either problem most likely do not exist (under certain complexity assumptions), but a time efficient approximation algorithm is shown that solves a special case of these problems.",

keywords = "Approximation algorithms, Computer-aided control system design, Discrete-event systems. supervisory control graph theory, Observers",

author = "Samir Khuller and Guy Kortsarz and Rohloff, {Kurt R.}",

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T1 - Approximating the minimal sensor selection for supervisory control

AU - Khuller, Samir

AU - Kortsarz, Guy

AU - Rohloff, Kurt R.

PY - 2004

Y1 - 2004

N2 - This paper discusses the problem of selecting a set of sensors of minimum cardinality that can be used for the synthesis of a supervisory controller.We show how this sensor selection problem is related to a type of directed graph st-cut problem that has not been previously discussed in the literature. Approximation algorithms to solve the sensor selection problem can be used to solve the graph cut problem and vice-versa. Polynomial time algorithms to find good approximate solutions to either problem most likely do not exist (under certain complexity assumptions), but a time efficient approximation algorithm is shown that solves a special case of these problems.

AB - This paper discusses the problem of selecting a set of sensors of minimum cardinality that can be used for the synthesis of a supervisory controller.We show how this sensor selection problem is related to a type of directed graph st-cut problem that has not been previously discussed in the literature. Approximation algorithms to solve the sensor selection problem can be used to solve the graph cut problem and vice-versa. Polynomial time algorithms to find good approximate solutions to either problem most likely do not exist (under certain complexity assumptions), but a time efficient approximation algorithm is shown that solves a special case of these problems.

KW - Approximation algorithms

KW - Computer-aided control system design

KW - Discrete-event systems. supervisory control graph theory

KW - Observers

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DO - 10.1016/S1474-6670(17)30727-9

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AN - SCOPUS:85064566985

SN - 1474-6670

VL - 37

SP - 87

EP - 92

JO - IFAC Proceedings Volumes (IFAC-PapersOnline)

JF - IFAC Proceedings Volumes (IFAC-PapersOnline)

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T2 - 7th International Workshop on Discrete Event Systems, WODES 2004

Y2 - 22 September 2004 through 24 September 2004

ER -

Approximating the minimal sensor selection for supervisory control

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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