A Unified Fixed-/Preassigned-time Synchronization Approach for Delayed Memristive Neural Networks | Zendy

Jiarong Tian | Zendy; Jiemei Zhao | Zendy; Qingfang Wang | Zendy

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A Unified Fixed-/Preassigned-time Synchronization Approach for Delayed Memristive Neural Networks

Author(s) -

Jiarong Tian,

Jiemei Zhao,

Qingfang Wang

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3619533

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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, the p -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.

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