SAMPLED-DATA BASED EXTENDED DISSIPATIVE SYNCHRONIZATION OF STOCHASTIC COMPLEX DYNAMICAL NETWORKS

In this paper, extended dissipative (ED) synchronization is considered for stochastic complex dynamical networks (SCDNs) with variable coupling delay via sampled-data control (SDC). First, a suitable Lyapunov-Krasovskii functional (LKF) is constructed, then a new synchronization criterion is obtained through stochastic integral inequality (SII) and linear matrix inequality (LMI) techniques. Moreover, the ED synchronization criteria are established, which consolidates passivity, dissipativity, H-infinity, and L-2 - L-infinity. performances in a unified structure. SDC gain matrices are also designed for each performance in ED criteria. Finally, the feasibility and usefulness of the derived theoretical results are shown through numerical simulations.

Automated summary

This paper investigates the extended dissipative synchronization problem for stochastic complex dynamical networks with variable coupling delay using sampled-data control. The main contribution of this work is the establishment of unified criteria for extended dissipative synchronization and the design of corresponding control gain matrices.