【作者】 林小峰； 叶伟宝； 宋春宁； 宋绍剑；

【Author】 Lin Xiaofeng,Ye Weibao,Song Chunning,Song Shaojian College of Electrical Engineering,Guangxi University,Nanning 530004,P.R.China

【机构】 广西大学电气工程学院；

【摘要】 本文主要是研究自适应评价设计(ACD)中的在线学习控制方法,该方法称为执行依赖双启发式动态规划(ADDHP)。文中阐述了自适应评价设计的原理,构建了一个在线学习控制器,并且详细地介绍了控制算法中有关评价网络和执行网络的学习过程。通过了车载平衡杆的实验,表明了在线学习控制算法的适用性。更多还原

【Abstract】 This paper focuses on studying a class of on-line learning control based on Adaptive Critic Designs.It can be clas-sified as Action-Dependent Dual Heuristic Programming(ADDHP).The principle of Adaptive Critic Designs is introduced.We design an on-line learning controller,and provide details about the learning of Critic Networks and Action Network used in the present algorithm.In our simulation study,we employ the cart-pole balancing problem to show the applicability of the on-line learning control algorithm.更多还原