Name
Abstract | ||
|---|---|---|
The optimal control problem of multiple conveyor-serviced production station (CSPS) system is concerned, and the objective is to maximize the part-processing rate of the entire system by choosing a coordinate look-ahead control strategy for each station. According to the idea of event-based optimization, and by using the concept of performance potentials, an event-based Q-learning algorithm is proposed to solve the coordinated look-ahead control problem with either discounted or average performance criteria. A simulation example is used to illustrate the effectiveness of the proposed algorithm, and the derived results show that the part-processing rate of the entire system is increased significantly compared to that obtained by a Wolf-PHC algorithm. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400829 | CDC |
Field | DocType | ISSN |
Mathematical optimization,Optimal control,Multivariable control systems,Control theory,Assembly systems,Manufacturing systems,Computer science,Q-learning | Conference | 0191-2216 E-ISBN : 978-1-4244-3872-3 |
ISBN | Citations | PageRank |
978-1-4244-3872-3 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Tang | 1 | 15 | 7.02 |
| Haifeng Wan | 2 | 0 | 0.68 |
| Lei Zhou | 3 | 15 | 4.65 |
| Jianghong Han | 4 | 66 | 13.98 |