State estimation of singularly perturbed Semi-Markov jump coupled neural networks: A two-time-scale event-triggered approach-Reference-Cited by-同舟云学术

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State estimation of singularly perturbed Semi-Markov jump coupled neural networks: A two-time-scale event-triggered approach

Published:2024-10 Issue: Volume:301 Page:112299
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wang Ya-Nan,Li Feng^ORCID,Shen Hao

Funder

Ministry of Education of the People's Republic of China

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Natural Science Foundation of Ningxia Province

National Aerospace Science Foundation of China

Collaborative Innovation Project of Colleges and Universities of Anhui Province

Publisher

Elsevier BV

Reference36 articles.

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

2. Impulsive synchronization of derivative coupled neural networks with cluster-tree topology;Tang;IEEE Trans. Neural Sci. Eng.,2020

3. Quantized pinning bipartite synchronization of fractional-order coupled reaction–diffusion neural networks with time-varying delays;Wu;Chaos Solitons Fractals,2023

4. Nonseparation analysis-based finite/fixed-time synchronization of fully complex-valued impulsive dynamical networks;Xiong;Appl. Math. Comput.,2024

5. Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control;Gao;Nonlinear Anal. Hybrid Syst.,2024

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