DocumentCode
797894
Title
Minimax controller design
Author
Salmon, D.M.
Author_Institution
Stanford Research Institute, Menlo Park, CA, USA
Volume
13
Issue
4
fYear
1968
fDate
8/1/1968 12:00:00 AM
Firstpage
369
Lastpage
376
Abstract
Given a system with uncertain parameters, a performance index, and a controller structure, it is sometimes appropriate to determine the controller parameters by minimaximizing the performance index. In many of the cases where such a controller is too pessimistic it is appropriate to minimaximize a performance sensitivity. Some properties of these two types of controllers are presented. Since the minimax problems that arise do not in general have a saddle point, they must be solved by an iterative or search procedure. A new algorithm for solving algebraic minimax problems with or without a saddle point is presented and proved to converge. The rate of convergence is discussed. The algorithm is applied to the design of a controller for a string of three vehicles.
Keywords
Minimax control; Uncertain systems; Adaptive control; Control systems; Convergence; Helium; Iterative algorithms; Minimax techniques; Performance analysis; Programmable control; System performance; Vehicles;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1968.1098941
Filename
1098941
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