Generalized semi-Markov process : A view through supervisory control
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1075-1076 |
Journal / Publication | Proceedings of the IEEE Conference on Decision and Control |
Volume | 2 |
Publication status | Published - 1989 |
Externally published | Yes |
Conference
Title | Proceedings of the 28th IEEE Conference on Decision and Control. Part 2 (of 3) |
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City | Tampa, FL, USA |
Period | 13 - 15 December 1989 |
Link(s)
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.
Citation Format(s)
Generalized semi-Markov process: A view through supervisory control. / Lin, Feng; Yao, David D.
In: Proceedings of the IEEE Conference on Decision and Control, Vol. 2, 1989, p. 1075-1076.
In: Proceedings of the IEEE Conference on Decision and Control, Vol. 2, 1989, p. 1075-1076.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal