Generalized semi-Markov process : A view through supervisory control

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1075-1076
Journal / PublicationProceedings of the IEEE Conference on Decision and Control
Volume2
Publication statusPublished - 1989
Externally publishedYes

Conference

TitleProceedings of the 28th IEEE Conference on Decision and Control. Part 2 (of 3)
CityTampa, FL, USA
Period13 - 15 December 1989

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.