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Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced
Shanshan Chen1, Haijun Jiang1, Binglong Lu1
1College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, PR China.
Abstract:
The study investigates bipartite synchronization of inertial coupled delayed neural networks (ICDNNs) with signed digraph by non-reduced order method and pinning control. The second-order CDNNs will not be converted into a first-order differential system by introducing variable substitution. Instead, a novel Lyapunov-Krasovskii functional is proposed which depends on the topology of the ICDNNs. Some sufficient conditions for linear matrix inequalities (LMI) are derived to realize bipartite synchronization, which is based on matrix decomposition theory and Barbalat Lemma in strongly connected signed networks. And then, M-matrix theory is utilized to generalize the results to networks containing directed spanning trees. Finally, two examples are used to verify the validity of the derived theoretical results.
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