Adaptive dynamic programming and optimal control of nonlinear nonaffine systems

作     者：Bian, Tao Jiang, Yu Jiang, Zhong-Ping 

作者机构：NYU Polytech Sch Engn Dept Elect & Comp Engn Control & Networks Lab Brooklyn NY 11201 USA 

出 版 物：《AUTOMATICA》 (自动学)

年 卷 期：2014年第50卷第10期

页      面：2624-2632页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：National Science Foundation [DMS-0906659, ECCS-1101401, ECCS-1230040] Div Of Electrical, Commun & Cyber Sys Directorate For Engineering Funding Source: National Science Foundation Div Of Electrical, Commun & Cyber Sys Directorate For Engineering Funding Source: National Science Foundation 

主　　题：Adaptive optimal control Adaptive dynamic programming Nonaffine systems 

摘      要：In this paper, a novel optimal control design scheme is proposed for continuous-time nonaffine nonlinear dynamic systems with unknown dynamics by adaptive dynamic programming (ADP). The proposed methodology iteratively updates the control policy online by using the state and input information without identifying the system dynamics. An ADP algorithm is developed, and can be applied to a general class of nonlinear control design problems. The convergence analysis for the designed control scheme is presented, along with rigorous stability analysis for the closed-loop system. The effectiveness of this new algorithm is illustrated by two simulation examples. (C) 2014 Elsevier Ltd. All rights reserved.