[1] BERNSTEIN D S, HADDAD W M.LQG control with an H∞ performance bound: a riccati equation approach［C］// American Control Conference, IEEE, 2009:796-802.

[2] 潘伟,王学勇,井元伟.基于遗传算法的混合H2/H∞状态反馈控制器［J］.控制与决策,2005,20(2):132-136.

[3] 叶思隽,王新民,张清江,等.不确定系统混合H2/H∞鲁棒控制的直接迭代LMI方法［J］.控制理论与应用,2011,28(2):247-255.

[4] 马清亮,杨海燕,吴旭光.多项式模糊系统混合H2/H∞控制［J］.电光与控制,2017,24(7):1-6.

[5] 孙景亮,刘春生.基于自适应动态规划的导弹制导律研究综述［J］.自动化学报,2017,43(7):1101-1113.

[6] 张化光,张欣,罗艳红,等.自适应动态规划综述［J］.自动化学报,2013,39(4):303-311.

[7] LIU D R, YANG X, WANG D, et al.Reinforcement-learning-based robust controller design for continuous-time uncertain nonlinear systems subject to input constraints［J］.IEEE Transactions on Cybernetics, 2015, 45(7):1372-1385.

[8] ZHANG H G, QIN C B, LUO Y H.Neural-network-based constrained optimal control scheme for discrete-time switched nonlinear system using dual heuristic programming［J］.IEEE Transactions on Automation Science and Engineering, 2014, 11(3): 839-849.

[9] VAMVOUDAKIS K G, LEWIS F L.Multi-player non-zero-sum games: online adaptive learning solution of coupled Hamilton-Jacobi-Equations［J］.Automatica, 2011, 47(8):1556-1569.

[10] ALIYU M D S.An iterative computational scheme for solving the coupled Hamilton-Jacobi-Isaacs equations in nonzero-sum differential games of affine nonlinear systems［J］.Decisions in Economics & Finance, 2017(40):1-30.

[11] ZHAO D B, XIA Z P, WANG D.Model-free optimal control for affine nonlinear systems with convergence analysis［J］.IEEE Transaction on Automation Science and Engineering,2015, 12(4):1461-1468.

[12] TAPIA R A.The Kantorovich theorem for Newtons method［J］.American Mathematical Monthly, 1971, 78(4):389-392.

[13] ZHANG Q, ZHAO D, ZHU Y.Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs［J］.Neurocomputing, 2017(238):377-386.