Dynamic event-triggered state estimation for discrete-time delayed switched neural networks with constrained bit rate-Reference-Cited by-同舟云学术

Dynamic event-triggered state estimation for discrete-time delayed switched neural networks with constrained bit rate

Published:2024-04-05 Issue:1 Volume:12 Page:
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Zhang Ran¹²,Liu Hongjian²³,Liu Yufei¹²,Tan Hailong²³

Affiliation:

1. School of Electrical Engineering, Anhui Polytechnic University, Wuhu, People's Republic of China

2. Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, People's Republic of China

3. School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu, People's Republic of China

Funder

National Natural Science Foundation of China

Intelligent Control Innovation Team

Foundation of Anhui Future Technology Research Institute

Anhui Provincial Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2334304

Reference36 articles.

1. An ℋ∞ approach to stability analysis of switched Hopfield neural networks with time-delay

2. Region stability analysis for switched discrete-time recurrent neural network with multiple equilibria

3. IEEE Transactions on Cybernetics

4. Resilient filter of nonlinear network systems with dynamic event-triggered mechanism and hybrid cyber attack

5. l2−l∞ state estimation for discrete-time switched neural networks with time-varying delay

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