H∞ Exponential Synchronization of Complex Networks: Aperiodic Sampled-Data-Based Event-Triggered Control

This article studies the H infinity exponential synchronization problem for complex networks with quantized control input. An aperiodic sampled-data-based event-triggered scheme is introduced to reduce the network workload. Based on the discrete-time Lyapunov theorem, a new method is adopted to solve the sampled-data problem. In view of the aforementioned method, several sufficient conditions to ensure the H infinity exponential synchronization are acquired. Numerical simulations show that the proposed control schemes can significantly reduce the amount of transmitted signals while preserving the desired system performance.

Automated summary

This article investigates the H infinity exponential synchronization problem for complex networks with quantized control input, introducing an aperiodic sampled-data-based event-triggered scheme to reduce network workload. A new method based on the discrete-time Lyapunov theorem is employed to solve the sampled-data problem, deriving several sufficient conditions to ensure H infinity exponential synchronization. Numerical simulations demonstrate that the proposed control schemes are effective in reducing the amount of transmitted signals while maintaining desired system performance.