DocumentCode :
805156
Title :
Algorithm for the minimum-effort problem
Author :
Cadzow, James A.
Author_Institution :
State University of New York, Buffalo, NY, USA
Volume :
16
Issue :
1
fYear :
1971
fDate :
2/1/1971 12:00:00 AM
Firstpage :
60
Lastpage :
63
Abstract :
Give a consistent set of m linear equations in n unknown variables, a minimum-effort solution is defined to be a solution of that set of equations whose maximum component\´s magnitude is the smallest possible. An algorithmic procedure for obtaining a minimum-effort solution is developed. Its development is based on the duality principle from functional analysis. Possible applications of such an algorithm for typical digital control problems is presented in the introductory section. In such situations, it is frequently desirable to effect a given control task while using minimum control amplitude.
Keywords :
Linear systems, time-invariant discrete-time; Minimum-effort optimal control; Automatic control; Control systems; Equations; Feedback control; Functional analysis; H infinity control; Linear feedback control systems; Nonlinear control systems; Stability analysis; Vectors;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1971.1099634
Filename :
1099634
Link To Document :
بازگشت