DocumentCode
2326898
Title
An iterative ADP approach for solving a class of nonlinear zero-sum differential games
Author
Wei, Qinglai ; Liu, Derong
Author_Institution
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
10-12 April 2010
Firstpage
279
Lastpage
285
Abstract
In this paper, an adaptive dynamic programming (ADP) method is developed for solving a class of continuous-time nonlinear two-person zero-sum games. The idea is to use iterative ADP technique to obtain the optimal control pair which makes the performance index function reach the saddle point. It is shown that the control pair obtained by the present ADP method will stabilize the nonlinear system. Also the convergence proof of the performance index function is given. Finally, simulation study will show the effectiveness of the present method.
Keywords
continuous time systems; convergence; dynamic programming; game theory; iterative methods; nonlinear control systems; optimal control; adaptive dynamic programming; continuous-time games; convergence proof; iterative ADP approach; nonlinear zero-sum differential games; Communication system control; Control systems; Convergence; Dynamic programming; Game theory; Iterative methods; Nonlinear control systems; Nonlinear systems; Optimal control; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control (ICNSC), 2010 International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-6450-0
Type
conf
DOI
10.1109/ICNSC.2010.5461622
Filename
5461622
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