Abstract
This paper gives a new sufficient condition for complete stability of a nonsymmetric cellular neural network (CNN). The convergence theorem of the Gauss-Seidel method, which is an iterative technique for solving a linear algebraic equation, plays an important role in our proof. It is also shown that the existence of a stable equilibrium point does not imply complete stability of a nonsymmetric CNN.
Original language | English |
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Pages (from-to) | 754-758 |
Number of pages | 5 |
Journal | IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications |
Volume | 45 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1998 |
Externally published | Yes |
Keywords
- Cellular neural networks
- Complete stability
- Gaussseidel method
ASJC Scopus subject areas
- Electrical and Electronic Engineering