DocumentCode
1123682
Title
Approximately finite memory and the circle criterion
Author
Sandberg, Irwin W.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
41
Issue
7
fYear
1994
fDate
7/1/1994 12:00:00 AM
Firstpage
473
Lastpage
476
Abstract
In recent work a complete characterization has been given of those input-output maps G that can be uniformly approximated by the maps of certain simple structures. The criterion is that G must satisfy certain continuity and approximately finite memory conditions. It is proved here that the conditions are satisfied by the input-output maps of feedback systems of a familiar type containing a (possibly distributed) linear part and a sector nonlinearity for which the circle condition for stability is met. In particular, this shows that such feedback systems, with inputs drawn from a certain large set of bounded functions, can be input-output approximated arbitrarily well by a structure that takes the form of a feedforward dynamical neural network
Keywords
feedback; feedforward neural nets; identification; nonlinear dynamical systems; stability criteria; bounded functions; circle criterion; continuity; feedback systems; feedforward dynamical neural network; finite memory; input-output approximation; input-output maps; linear part; sector nonlinearity; stability; Communication channels; Equalizers; Extrapolation; Feedforward neural networks; Network synthesis; Neural networks; Neurofeedback; Nonlinear distortion; Nonlinear systems; Stability;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.298359
Filename
298359
Link To Document