The Application of Improved Single Integral Inequality in Neural Networks with Time-Delayed

2021 ◽  
Vol 11 (01) ◽  
pp. 79-89
Author(s):  
莹莹 柳
Keyword(s):  
Neural Networks ◽  
Integral Inequality ◽  
Single Integral

Extended dissipative estimator design for uncertain switched delayed neural networks via a novel triple integral inequality

2018 ◽  
Vol 335 ◽  
pp. 82-102 ◽  
Author(s):  
Wenqian Xie ◽  
Hong Zhu ◽  
Shouming Zhong ◽  
Dian Zhang ◽  
Kaibo Shi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Integral Inequality ◽  
Delayed Neural Networks ◽  
Estimator Design

Finite-time synchronization for fuzzy inertial cellular neural networks with time-varying delays via integral inequality

2021 ◽  
pp. 1-14
Author(s):  
Zhenjie Wang ◽  
Wenxia Cui ◽  
Wenbin Jin
Keyword(s):  
Neural Networks ◽  
Integral Inequality ◽  
Finite Time ◽  
Time Synchronization ◽  
Cellular Neural Networks ◽  
Time Varying ◽  
Time Stability ◽  
Finite Time Stability ◽  
Synchronization Problem ◽  
Inequality Techniques

This paper mainly considers the finite-time synchronization problem of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. By constructing the suitable Lyapunov functional, and using integral inequality techniques, several sufficient criteria have been proposed to ensure the finite-time synchronization for the addressed (FICNNs). Without applying the known finite-time stability theorem, which is widely used to solve the finite-time synchronization problems for (FICNNs). In this paper, the proposed method is relatively convenient to solve finite-time synchronization problem of the addressed system, this paper extends the research works on the finite-time synchronization of (FICNNs). Finally, numerical simulations illustrated verify the effectiveness of the proposed results.

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