Global asymptotic synchronisation of fuzzy inertial neural networks with time-varying delays by applying maximum-value approach
Author:
Affiliation:
1. Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, People's Republic of China
2. School of Mathematics, Hunan University, Changsha, People's Republic of China
Funder
National Science Foundation of China
National Key R&D program of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207721.2022.2050437
Reference55 articles.
1. Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen–Grossberg Neural Networks with Discontinuous Activations
2. The synchronization and stability analysis of delayed fuzzy Cohen-Grossberg neural networks via nonlinear measure method
3. Synchronization of Fractional Order Fuzzy BAM Neural Networks With Time Varying Delays and Reaction Diffusion Terms
4. Stability and dynamics of simple electronic neural networks with added inertia
5. Delay-Dependent Criteria for Global Exponential Stability of Time-Varying Delayed Fuzzy Inertial Neural Networks
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