Finite-time Synchronization of Inertial Neural Networks via Periodically Intermittent Control
Yaqian Hu, Leimin Wang, Xing-Xing Tan, Kan Zeng · 2022
In this paper, the finite-time synchronization (FTS) for inertial neural networks (INNs) is investigated based on periodically intermittent control. By utilizing the reduced order approach, INN system is transformed into two first-order systems. Then, proper periodically intermittent controllers are designed to obtain sufficient condition for FTS of INNs. An example is proposed to support the validity of the synchronization criterion.