Finding multiple equilibrium points of cellular neural networks without enumeration

Abstract

A path-following method is presented for computing multiple equilibrium points in cellular neural networks. The method is guaranteed to find at least one solution. The possibility of finding all solutions is also investigated, and this leads to theoretical insight into the relation between the properties of the interconnection matrix and the number of equilibrium points.<>