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
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