Generalized semi-Markov process: A view through supervisory control

Feng Lin; David D. Yao

doi:10.1109/CDC.1989.70297

Generalized semi-Markov process: A view through supervisory control

Feng Lin, David D. Yao

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

7 Citations (Scopus)

Abstract

The generalized semi-Markov process (GSMP) is a useful model for discrete-event stochastic systems. The theory of GSMPs, however, does not provide a mechanism for specifying the active event list, which is dynamically changing as the system evolves. It is shown here that this issue can be formally addressed using the theory of supervisory control, and the advantages of studying the GSMP from such a viewpoint are discussed.

Original language	English
Pages (from-to)	1075-1076
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	2
DOIs	https://doi.org/10.1109/CDC.1989.70297
Publication status	Published - 1989
Externally published	Yes
Event	Proceedings of the 28th IEEE Conference on Decision and Control. Part 2 (of 3) - Tampa, FL, USA Duration: 13 Dec 1989 → 15 Dec 1989

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title = "Generalized semi-Markov process: A view through supervisory control",

abstract = "The generalized semi-Markov process (GSMP) is a useful model for discrete-event stochastic systems. The theory of GSMPs, however, does not provide a mechanism for specifying the active event list, which is dynamically changing as the system evolves. It is shown here that this issue can be formally addressed using the theory of supervisory control, and the advantages of studying the GSMP from such a viewpoint are discussed.",

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year = "1989",

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language = "English",

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T2 - Proceedings of the 28th IEEE Conference on Decision and Control. Part 2 (of 3)

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AU - Yao, David D.

PY - 1989

Y1 - 1989

N2 - The generalized semi-Markov process (GSMP) is a useful model for discrete-event stochastic systems. The theory of GSMPs, however, does not provide a mechanism for specifying the active event list, which is dynamically changing as the system evolves. It is shown here that this issue can be formally addressed using the theory of supervisory control, and the advantages of studying the GSMP from such a viewpoint are discussed.

AB - The generalized semi-Markov process (GSMP) is a useful model for discrete-event stochastic systems. The theory of GSMPs, however, does not provide a mechanism for specifying the active event list, which is dynamically changing as the system evolves. It is shown here that this issue can be formally addressed using the theory of supervisory control, and the advantages of studying the GSMP from such a viewpoint are discussed.

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U2 - 10.1109/CDC.1989.70297

DO - 10.1109/CDC.1989.70297

M3 - RGC 22 - Publication in policy or professional journal

SN - 0191-2216

VL - 2

SP - 1075

EP - 1076

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

Y2 - 13 December 1989 through 15 December 1989

ER -

Generalized semi-Markov process: A view through supervisory control

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