Reinforcement Learning Control for Gas Collector Pressure of Coke Ovens

摘要：

　　Due to nonlinear and strong coupling of coke ovens,a distributed reinforcement learning control algorithm based on a radial basis function(RBF)for gas collector pressure control was proposed,in which the discrete space was dealt with by RBF and the critic-actor method was used to update the parameters of search network and evaluation network of the controller.Moreover,the control strategies of the controller were optimized by trial and error in the strong interference environment.The simulation of gas collector pressure control of coke ovens has shown that the algorithm can effectively solve the coupling problem,and has better stability.

关键词： coke oven gas collector pressure coupling control reinforcement learning

作者: Qin Bin Dai Leqiang Li Pengcheng Zhu Wangli Wang Xin

作者单位: School of Electrical & Information Engineering,Hunan University of Technology,Zhuzhou,Hunan 412007,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 414-417

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）