Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced order method.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date:

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.

Authors

  • Shanshan Chen
    School of Life Sciences, Jilin University, Changchun, China.
  • Haijun Jiang
    College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, Xinjiang, PR China. Electronic address: jianghaijunxju@163.com.
  • Binglong Lu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, People's Republic of China. Electronic address: lubinglong1981@163.com.
  • Zhiyong Yu
    College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, People's Republic of China.
  • Liang Li
    School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China.