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
fDate :
6/1/1996 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
