Algebraic criteria for global exponential stability of cellular neural networks with multiple time delays
Xiaoxin Liao, Jun Wang · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2003
This brief presents three sufficient conditions for the global exponential stability of cellular neural networks with time delays. The new stability results provide algebraic criteria for stability verifications and improve upon existing ones with stronger conditions. To demonstrate the differences and features of the new stability criteria, several examples are discussed to compare the present results with the existing ones.