DocumentCode :
2910409
Title :
Adaptive competitive multiple controllers for systems with unknown general quadratic objectives
Author :
Tan, Xiaohuan ; Cruz, Jose B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
23
Lastpage :
28
Abstract :
Motivated by the problems of unknown objectives in strategic bidding in the restructured electricity power markets, this paper investigates a class of competitive multiple controllers with unknown quadratic objectives including linear and cross terms in controls. We combine the concept of fictitious play with the technique of adaptive control to estimate multiple controller strategies. We also specify certain conditions and show both theoretically and numerically that the adaptation procedure converges.
Keywords :
adaptive control; game theory; power markets; adaptive competitive multiple controllers; adaptive control; competitive multiple controllers; fictitious play; restructured electricity power markets; strategic bidding; unknown general quadratic objectives; Adaptive control; Automatic control; Control systems; Convergence; Power generation; Power supplies; Production; Programmable control; Robotics and automation; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795486
Filename :
4795486
Link To Document :
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