Abstract
Complete stability of cellular neural networks and their associated dynamical system precludes the possibility of any periodic or chaotic behavior and is an important property to establish. In this paper complete stability of the opposite-sign cellular neural network is established provided that the template values fall within the range (p — 1)/2 < s < p — 1. The results in this paper extend the parameter range from previously known results. © 1993 IEEE