Further on Pinning Quasi-Synchronization of Switched Directed Networks With Event-Triggered Communication

Abstract

Sampled-data-based event-triggered (SDET) communication techniques have found extensive applications in the research of synchronization and consensus in directed networks (DNs). However, as the quantity of nodes in a network expands, existing investigations encounter difficulties in obtaining solutions within finite computation times due to computational complexity. For coping with this scenario, a novel event-triggered pinning quasi-synchronization approach is explored in this research for a category of switched directed networks (SDNs) with sampling measurements. By developing a time-dependent Lyapunov窶適rasovskii functional (LKF) and implementing a state-dependent switching strategy utilizing sampling measurements, sufficient conditions are formulated to assure that the synchronization errors are ultimately bounded in an exponential fashion. Different from previous relevant findings, the verification of matrix conditions in the derived synchronization criterion no longer depends on the number of nodes in networks, making it more suitable for large-scale SDNs. Ultimately, two simulation examples are incorporated to elucidate the applicability of the newly crafted synchronization methodology.