Title :
A new parameter range for the stability of opposite-sign cellular neural networks
Author :
Joy, Mark P. ; Tavsanoglu, Vedat
Author_Institution :
Sch. of Electr., Electron. & Inf. Eng., South Bank Univ., London, UK
fDate :
3/1/1993 12:00:00 AM
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. The authors establish complete stability of the opposite-sign cellular neural network (CNN) provided that the template values fall within the range ( p-1)/2<s<p-1. The results reported extend the parameter range from previously known results
Keywords :
chaos; neural nets; stability; chaotic behavior; dynamical system; opposite-sign cellular neural networks; parameter range; stability; template values; Cellular neural networks; Chaos; Circuit stability; Cloning; Equations; Feedback; Jacobian matrices; Lyapunov method; Signal processing; Vectors;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
