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A multi-time scales model and control for hybrid stochastic production systems with quadratic cost
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chunyue, Song Jian-Ping, Sun Ping, Li |
| Copyright Year | 2004 |
| 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. |
| Starting Page | 341 |
| Ending Page | 348 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.23919/acc.2004.1384646 |
| Volume Number | 6 |
| Alternate Webpage(s) | http://www.nt.ntnu.no/users/skoge/prost/proceedings/acc04/Papers/0894_FrM14.5.pdf |
| Alternate Webpage(s) | http://folk.ntnu.no/skoge/prost/proceedings/acc04/Papers/0894_FrM14.5.pdf |
| Journal | Proceedings of the 2004 American Control Conference |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
