New result on the mean-square exponential input-to-state stability of stochastic delayed recurrent neural networks-Reference-Cited by-同舟云学术

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New result on the mean-square exponential input-to-state stability of stochastic delayed recurrent neural networks

Published:2018-01-01 Issue:1 Volume:6 Page:501-509
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Wang Wentao¹,Gong Shuhua²,Chen Wei³

Affiliation:

1. School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, People's Republic of China

2. College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, People's Republic of China

3. School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai, People's Republic of China

Funder

Natural Scientific Research Fund of Zhejiang Provincial of China

Key Project of Natural Science Foundation of China

Shanghai Talent Development Fund

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/21642583.2018.1544512

Reference25 articles.

1. Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays

2. Fixed points andpth moment exponential stability of stochastic delayed recurrent neural networks with impulses

3. Stability results for stochastic delayed recurrent neural networks with discrete and distributed delays

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1. Exponential Input-to-State Stability of Van Der Pol Oscillators Driven by Second-Order Process;2024

2. Mean‐square exponential input‐to‐state stability of stochastic delayed recurrent neural networks with local Lipschitz condition;Mathematical Methods in the Applied Sciences;2023-07-06

3. Exponential input-to-state stability of delay Korteweg–de Vries–Burgers equations;Communications in Nonlinear Science and Numerical Simulation;2023-06

4. Stochastic asymptotic stability for stochastic inertial Cohen-Grossberg neural networks with time-varying delay;Journal of Computational Methods in Sciences and Engineering;2023-04-04

5. Mean-square exponential input-to-state stability of stochastic fuzzy delayed Cohen-Grossberg neural networks;Journal of Experimental & Theoretical Artificial Intelligence;2023-01-11

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