Stabilization of Stochastic Complex Networks Driven by G-Brownian Motion Under Exponential-Type Dynamic Event-Triggered Control

In this paper, the exponential stabilization of stochastic complex networks driven by G-Brownian motion (GSCNs) within the sublinear expectation framework (SEF) is investigated, where an exponential-type dynamic event-triggered control (EDE-TC) is designed. To address the challenges posed by EDE-TC in G-SCNs, a novel node-dependent Lyapunov functional is constructed. More specifically, by means of graph theory, and G-stochastic analysis techniques, exponential stabilization criterion for G-SCNs under EDE-TC is established. Finally, the theoretical results are validated via a coupled single-link flexible joint manipulator (SLFJM) system, with corresponding numerical simulations being provided.