DocumentCode :
832447
Title :
A simplified algorithm for model reference adaptive control
Author :
Monopoli, R.V. ; Subbarao, V.N.
Author_Institution :
University of Massachusetts, Amherst, MA, USA
Volume :
25
Issue :
3
fYear :
1980
fDate :
6/1/1980 12:00:00 AM
Firstpage :
579
Lastpage :
581
Abstract :
Generation of one of the auxiliary inputs in model reference adaptive control systems requires a positive definite quadratic function of 
system variables for an 
th order system. To generate such a function can require as many as signal multiplications. In this paper, it is shown how this input can be replaced by one that is much simpler to generate and reduces the number of signal multiplications required to one. The property of global asymptotic stability of the closed-loop adaptive system is preserved with the simpler auxiliary input.
system variables for an th order system. To generate such a function can require as many as signal multiplications. In this paper, it is shown how this input can be replaced by one that is much simpler to generate and reduces the number of signal multiplications required to one. The property of global asymptotic stability of the closed-loop adaptive system is preserved with the simpler auxiliary input.Keywords :
Adaptive control; Adaptive control; Adaptive systems; Analog computers; Art; Asymptotic stability; Automatic control; Control systems; Low pass filters; Polynomials; Signal generators;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1980.1102338
Filename :
1102338
Link To Document :
