Zero-Sum Differential Games for Nonlinear Systems Using Adaptive Dynamic Programming with Input Constraint
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所属单位：自动化学院
发表刊物：PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)
关键字：differential game adaptive dynamic programming asymptotically stability input constraints
摘要：In this paper, the zero-sum differential game problem for a class of nonlinear system with input constraints is investigated via adaptive dynamic programming (ADP). A suitable non-quadratic functional is utilized to embed the control constraints into the differential game problem. Then, the Nash equilibrium solution is found by solving the constrained Hamilton-Jacobi-Isaacs (HJI) equation. The single critic network is constructed to approximate the solution of associated HJI equation online. A robustifying control term is added to the controller to eliminate the effect of residual error, leading to the asymptotically stability of the closed-loop system. Simulation results verify the effectiveness of proposed method by using a simple nonlinear system.
ISSN号：2161-2927
是否译文：否
发表时间：2017-01-01
合写作者：Sun, Jingliang
通讯作者：刘春生