Title :
Generalized semi-Markov process: a view through supervisory control
Author :
Lin, Feng ; Yao, David D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
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 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
Keywords :
Markov processes; discrete systems; stochastic systems; discrete-event stochastic systems; generalized semi-Markov process; supervisory control; Clocks; Current measurement; History; Q measurement; State-space methods; Stochastic systems; Supervisory control;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70297
