Optimal Tracking Control for a Class of Continuous Time Complex-valued Systems Based on Adaptive Dynamic Programming Algorithm

摘要：

　　Based on the adaptive dynamic programming(ADP)algorithm,a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this paper.The tracking error is first defined,and then the performance index function which is about the tracking error is given.By transformation,the complex-valued tracking error system is mapped into real-domain.The optimal control method for the tracking error system is presented.The two neural networks are used to be as the critic network and action network,respectively.It is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov technique.Finally,the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.

关键词： Adaptive dynamic programming optimal control neural network complex-valued

作者: Ruizhuo Song Frank L.Lewis Qinglai Wei Wendong Xiao

作者单位: School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing University of Texas at Arlington Research Institute,University of Texas at Arlington,Fort Worth,Texa The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chine

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 8974-8978

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）