HMM-based finite-time synchronization of fuzzy jumping neural networks with input constraints and partial information-Reference-Cited by-同舟云学术

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HMM-based finite-time synchronization of fuzzy jumping neural networks with input constraints and partial information

Published:2023-04-17 Issue:7 Volume:55 Page:9699-9720
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Li Ziwei,Cai Youzhi,Su Lei,Shi Kaibo,Shen Hao

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-023-11222-3.pdf

Reference49 articles.

1. Ali MS, Balasubramaniam P (2009) Exponential stability of uncertain stochastic fuzzy BAM neural networks with time-varying delays. Neurocomputing 72(4–6):1347–1354

2. Ali MS, Saravanakumar R, Ahn CK et al (2017) Stochastic $$H_{\infty }$$ filtering for neural networks with leakage delay and mixed time-varying delays. Inf Sci 388:118–134

3. Ali MS, Vadivel R, Alsaedi A et al (2020) Extended dissipativity and event-triggered synchronization for T-S fuzzy Markovian jumping delayed stochastic neural networks with leakage delays via fault-tolerant control. Soft Comput 24(5):3675–3694

4. Balasubramaniam P, Ali MS (2010) Robust stability of uncertain fuzzy cellular neural networks with time-varying delays and reaction diffusion terms. Neurocomputing 74(1–3):439–446

5. Bao G, Wen S, Zeng Z (2012) Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type. Neural Netw 33:32–41

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