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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Song Chunyue Sun Jianping Li Ping |
| Copyright Year | 2004 |
| Description | Author affiliation: Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China (Song Chunyue) |
| Abstract | A hybrid stochastic production system corresponding to a situation where a basically deterministic production system, the fast subsystem, is subject to infrequent model disruptions occurring randomly, the slow subsystem is formulated with multi-time scales. One time scale is 1, the processing time scale, which is frequently and represents fast model. Another time scale is /spl epsiv//sup -1/, system failure time scale, which is infrequently and stands for slow model of the system. On different time scales, the long-run average cost function is decomposed into two sub-objective functions. Based on the two sub-objective functions, the optimal control policy of the system is obtained by using approximation numerical technique. Numerical experiments show its merit. |
| Sponsorship | American Automatic Control Council IFAC |
| Starting Page | 5022 |
| Ending Page | 5027 |
| File Size | 351950 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780383354 |
| ISSN | 07431619 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Stochastic systems Production systems Optimal control Industrial control Process control Cost function Control system synthesis Control systems Sun Laboratories |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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