Bipartite synchronization for coupled memristive neural networks: Memory-based dynamic updating law-Reference-Cited by-同舟云学术

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Bipartite synchronization for coupled memristive neural networks: Memory-based dynamic updating law

Published:2024-09 Issue: Volume:299 Page:112102
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ding Dong^ORCID,Tang Ze^ORCID,Wen Chuanbo,Ji Zhicheng^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Robustly string stable longitudinal control for vehicle platoons under communication failures: A generalized extended state observer-based control approach;Chen;IEEE Trans. Intell. Veh.,2022

2. Event-triggered learning synchronization of coupled heterogeneous recurrent neural networks;Liu;Knowl.-Based Syst.,2023

3. Brain network analysis of compressive sensed high-density EEG signals in AD and MCI subjects;Mammone;IEEE Trans. Ind. Inform.,2019

4. A novel three-stage quality oriented data-driven nonlinear industrial process monitoring strategy;Ma;IEEE Trans. Instrum. Meas.,2022

5. Event-triggered hierarchical multi-mode management strategy for source-load-storage in microgrids;Zhang;IEEE Trans. Circuits Syst. I,2023

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