Fixed-Time Synchronization of Memristive-Based NNs with Inertial Term via Intermittent Control
This paper directly investigates the fixed-time synchronization (FXTS) of delayed memristive-based neural networks with inertial term (IMNNs) by the periodically intermittent control approach. Different from the variable substitution technique utilized in the existing literature, this article considers the FXTS of delayed IMNNs via nonreduced-order method. Furthermore, by constructing suitable Lyapunov functional and periodic intermittent adaptive control strategy, we derive sufficient criteria to ensure the FXTS of the master-slave IMNNs and explicitly estimate the settling time.
Authors
- Yuxin Jiang (ORCID: https://orcid.org/0000-0002-9797-5116)
- Song Chun Zhu
Institutions
- China University of Mining and Technology (CN)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/ddcls66240.2025.11065726
- Citations
- 1
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China