DocumentCode :
2497949
Title :
Data-based adaptive critic design for discrete-time zero-sum games using output feedback
Author :
Cui, Lili ; Zhang, Huaguang ; Zhang, Xin ; Luo, Yanhong
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
190
Lastpage :
195
Abstract :
A novel data-based adaptive critic design (ACD) using output feedback is proposed for discrete-time zero-sum games in this paper. The proposed data-based adaptive critic design (ACD) is actually a direct adaptive output feedback control scheme. The main contribution of this paper is that not only knowledge of system model but also information of system states are not required. Only the data measured from input and output are required for reaching the saddle point of the zero-sum games by using proposed data-based iterative ACD algorithm. Moreover, the property of the proposed data-based iterative ACD algorithm is discussed. Simulation results demonstrate satisfactory performance of the proposed controller.
Keywords :
adaptive control; control system synthesis; discrete time systems; feedback; game theory; data-based adaptive critic design; data-based iterative; discrete-time zero-sum games; output feedback; saddle point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9887-1
Type :
conf
DOI :
10.1109/ADPRL.2011.5967351
Filename :
5967351
Link To Document :
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