DocumentCode :
313744
Title :
Decreasing sensitivity due to parametric multimodels in dynamic leader-follower incentive design
Author :
Sikora, Martin A. ; Cruz, Jose B., Jr.
Author_Institution :
Coll. of Eng., Ohio State Univ., Columbus, OH, USA
Volume :
1
fYear :
1997
fDate :
4-6 Jun 1997
Firstpage :
806
Abstract :
In this paper the leader and the follower both estimate parameters of a large scale system differently. From the leader´s viewpoint, the follower is operating with a different model of the system state equations and/or the follower´s own cost functional. This paper outlines conditions under which the leader can design an appropriate incentive to decrease the effect the different modeling has on both the final trajectory and the leader´s cost
Keywords :
decision theory; large-scale systems; parameter estimation; sensitivity; cost functional; dynamic leader-follower incentive design; final trajectory; large scale system; leader´s cost; parametric multimodels; state equations; Control systems; Cost function; Decision making; Design engineering; Differential equations; Educational institutions; Large-scale systems; Reduced order systems; Stochastic systems; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
ISSN :
0743-1619
Print_ISBN :
0-7803-3832-4
Type :
conf
DOI :
10.1109/ACC.1997.611915
Filename :
611915
Link To Document :
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