Sampled-Data-Based Dynamic Event-Triggered Synchronization of Semi-Markov Jump Complex Networks With Conic-Type Nonlinearity

This study focuses on the dynamic event-triggered synchronization of semi-Markov jump complex dynamical networks with multi-time delay. First, compared to traditional complex dynamical network models, the introduction of semi-Markovian switching topologies and conic-type nonlinearity makes network models more general and practical. Then, a dynamic event-triggered controller based on non-uniform sampling is designed, which greatly saves the limited network communication resources. Moreover, by using some advanced inequality techniques and the two-sided looped-functional approach, a less conservative synchronization condition is established, which ensures the stochastic stability of the constructed error system while achieving a prescribed dissipative performance. Finally, two simulation examples are provided to demonstrate the effectiveness, practicality, and superiority of the theoretical results.