A Unified Fixed-/Preassigned-Time Synchronization Approach for Delayed Memristive Neural Networks
Jiarong Tian, Jiemei Zhao, Qingfang Wang · IEEE Access · 2025
The synchronization problem of delayed memristive neural networks (DMNNs) is investigated, with a particular focus on fixed-time synchronization (FXTS) and preassigned-time synchronization (PTS). Initially, a unified controller is designed to achieve FXTS and PTS for DMNNs. By using the Lyapunov stability method, thep-th moment FXTS/PTS criteria are derived simultaneously, where the settling-time of FXTS is independent of the initial state. Finally, numerical simulation is conducted to validate the significant results obtained in this study.