Iteration Algorithm for Solving the Optimal Strategies of a Class of Nonaffine Nonlinear Quadratic Zero-sum Games
A iteration algorithm is derived to solve the optimal strategies of continuous-time nonaf.ne nonlinear quadratic zero-sum game in this paper. The nonaffine nonlinear quadratic zero-sum game is transformed into an equivalent sequence of linear quadratic zero-sum games. The associated Hamiltion-Jacobi-Isaacs (HJI) equation is transformed into a sequence of algebraic Riccati equations. The optimal strategies of the zero-sum game are obtained by iteration. The convergence of the iteration algorithm is proved under very mild conditions of local Lipschitz continuity. Finally, this approach is applied to a numerical example to demonstrate its convergence and effectiveness.
Zero-sum game Nonaffine nonlinear Iteration algorithm HJI equation
Xin Zhang Huaguang Zhang Yanhong Luo Meng Dong
Information Science and Engineering, Northeastern University, Shenyang 110819, China
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1359-1364
2010-05-26(万方平台首次上网日期,不代表论文的发表时间)