DocumentCode :
832455
Title :
A new error model for adaptive systems
Author :
Lin, Yuan-Hao ; Narendra, Kumpati S.
Author_Institution :
Yale University, New Haven, CT, USA
Volume :
25
Issue :
3
fYear :
1980
fDate :
6/1/1980 12:00:00 AM
Firstpage :
585
Lastpage :
587
Abstract :
A simple error model is described for both discrete and continuous time adaptive systems. The stability of the model for both bounded and unbounded inputs is analyzed for the discrete case and extended to continuous time models. It is shown that 
in the former case and 
in the latter case due to the presence of a feedback signal and these in turn play an important role in the stability analysis of discrete and continuous time adaptive systems.
in the former case and in the latter case due to the presence of a feedback signal and these in turn play an important role in the stability analysis of discrete and continuous time adaptive systems.Keywords :
Adaptive control; Linear systems, time-invariant continuous-time; Linear systems, time-invariant discrete-time; Stability; Adaptive control; Adaptive systems; Computer errors; Continuous time systems; Equations; Filters; Least squares approximation; Noise cancellation; Programmable control; Stability analysis;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1980.1102339
Filename :
1102339
Link To Document :
