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
Link To Document :
بازگشت