DocumentCode
980340
Title
Control of a recurrent neural network emulator for the double scroll
Author
Suykens, Johan A. K. ; Vandewalle, Joos
Author_Institution
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
Volume
43
Issue
6
fYear
1996
fDate
6/1/1996 12:00:00 AM
Firstpage
511
Lastpage
514
Abstract
A recurrent neural network, that behaves as the double scroll, is stabilized and controlled by means of linear dynamic feedback. The controller design is based upon stability criteria for neural control systems and involves the solution of a nonlinear optimization problem
Keywords
asymptotic stability; chaos; control system analysis; feedback; model reference adaptive control systems; optimisation; recurrent neural nets; stability criteria; controller design; double scroll; linear dynamic feedback; neural control systems; nonlinear optimization problem; recurrent neural network emulator; stability criteria; Chaos; Control systems; Design optimization; Integrated circuit interconnections; Linear feedback control systems; Neurofeedback; Neurons; Nonlinear control systems; Recurrent neural networks; Stability criteria;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.503268
Filename
503268
Link To Document