Global polynomial synchronization of a class of proportional delay neural networks
Taking a class of proportional delay neural networks as the drive-response systems,the global polynomial synchro-nization of the drive-response systems is studied.By using a feedback controller,constructing an appropriate Lyapunov func-tional and using analysis techniques such as mean value inequality,a criterion for determining the global polynomial synchro-nization of the studied drive-response systems is obtained.The criterion is displayed in the form of matrix inequality,which is easy to be verified with computer software.Finally,the correctness of the synchronization criterion is verified by a numerical example and its simulations.