Optimal Tracking Control for a Class of Continuous Time Complex-valued Systems Based on Adaptive Dynamic Programming Algorithm

被引：0
|
作者：
Song, Ruizhuo [1 ]
Lewis, Frank L. [2 ,3 ]
Wei, Qinglai [4 ]
Xiao, Wendong [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Univ Texas Arlington, Res Inst, Ft Worth, TX 76013 USA
[3] Northeastern Univ, State Key Lab Synthet Proc Automat, Shenyang 110819, Peoples R China
[4] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
来源：
2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年
关键词：
Adaptive dynamic programming; optimal control; neural network; complex-valued; NONLINEAR-SYSTEMS; CONTROL SCHEME;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on the adaptive dynamic programming (ADP) algorithm, a new optimal tracking control method is proposed for a class of complex-valued nonlinear systems in this paper. The tracking error is first defined, and then the performance index function which is about the tracking error is given. By transformation, the complex-valued tracking error system is mapped into real-domain. The optimal control method for the tracking error system is presented. The two neural networks are used to be as the critic network and action network, respectively. It is proven that the closed-loop system is uniformly ultimately bounded based on Lyapunov technique. Finally, the simulation study is given to show the effectiveness of the proposed optimal tracking control method for complex-valued nonlinear system.
引用
收藏
页码：8968 / 8972
页数：5
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