A study of asymptotic behavior of cellular neural networks
MA Run · Jounal of Xidian University · 2001
Based on LaSalles invariance principle, a study has been made of the asymptotic behavior of the cellular neural networks (CNNs). Global asymptotic stability is compared with complete stability, both of which have been widely studied in the stability of CNNs. Some faults in the literature are discussed. Two conditions for stability are obtained, which extends some results available. Specially, our results may provide an important guide to the physical CNNs designs.