Finite-Time Stability and Synchronization of the Coupled Switched Neural Networks with Nodes of Different Dimensions

摘要

In practical application, the state dimensions may be different in coupled neural networks. A class of coupled switched neural networks (CSNNs) with nodes of different dimensions is studied in this paper. A linear feedback controller is utilized to stabilize the CSNN, and a nonlinear controller is employed to synchronize the derive-response CSNNs under average dwell time switching signals. Sufficient conditions formulated in terms of linear matrix inequalities are derived for the finite-time stability and synchronization of CSNNs. Finally, numerical examples are given to show the effectiveness of theoretical results.