Control of a recurrent neural network emulator for the double scroll
Johan A. K. Suykens, Joos P. L. Vandewalle · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 1996
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.