Globally exponential stability conditions for cellular neural networks with time-varying delays.
The authors study problems of global exponential stability for cellular neural networks (CNN) with time-varying delays. Several sufficient conditions guaranteeing the network's global exponential stability are established. These results can easily be used to design and verify globally stable networks. Furthermore, the results presented here are independent of the form of specific delays.
scientific article; zbMATH DE number 1861184