Event-Based Optimization Control of Conveyor-Serviced Production Station
This paper is concerned with event-based optimization control of conveyor-serviced production station (CSPS), in which two event-based methods are introduced. One is that a general event is composed of state and the meta-event. The other maps the vacancies of the buffer into some state-cluster events, which are fully-full event, semi-full event, semi-vacant event, and fully-vacant event. Then, Q-learning based on the two methods is proposed. Finally, the simulation results illustrate the effectiveness of the proposed two event-based optimization control methods for CSPS. It shows that the former event-based optimization control method can obtain a better policy, but spends much longer time on learning, since it has larger event space. The later event-based optimization control method spends much shorter time on learning, which needs smaller simulation data samples for training to get good results.
Event-based optimization Conveyor-Serviced Production Station (CSPS) state-cluster event Q-learning
CHEN Yingjun TANG Hao PEI Rong ZHOU Lei
School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230009 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, Anhui 230009
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2167-2171
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）