Adaptive Dynamic Programming for Finite-Horizon Optimal Tracking Control of a Class of Nonlinear Systems
This paper deals with the nite-horizon optimal tracking control for a class of discrete-time nonlinear systems using the iterative adaptive dynamic programming (ADP)algorithm.First,the optimal tracking problem is converted into designing a nite-horizon optimal regulator for the tracking error dynamics.Then,with convergence analysis in terms of cost function and control law,the iterative ADP algorithm via heuristic dynamic programming (HDP)technique is introduced to obtain the nite-horizon optimal tracking controller which makes the cost function close to its optimal value within an ε -error bound.Moreover, three neural networks are used to implement the algorithm,which aims at approximating the cost function,the control law,and the error dynamics,respectively.At last,an example is included to demonstrate the effectiveness of the proposed approach.
WANG Ding LIU Derong WEI Qinglai
Key Laboratory of Complex Systems and Intelligence Science,Institute of Automation,Chinese Academy o Key Laboratory of Complex Systems and Intelligence Science,Institute of Automation,Chinese Academy o
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）