Title :
A more rigorous proof of complete stability of cellular neural networks
Author :
Wu, Chai Wah ; Chua, Leon O.
Author_Institution :
Electron. Res. Lab., California Univ., Berkeley, CA, USA
fDate :
4/1/1997 12:00:00 AM
Abstract :
The proof for the stability of cellular neural networks (CNNs) with symmetric feedback templates contains some gaps. The purpose of this letter is to discuss and provide a more rigorous proof using LaSalle´s invariant principle
Keywords :
cellular neural nets; feedback; stability; LaSalle´s invariant principle; cellular neural networks; complete stability; symmetric feedback templates; Cellular neural networks; Circuits; Lyapunov method; Neurofeedback; Nonlinear equations; Piecewise linear techniques; Stability; Symmetric matrices;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
