Finite-Horizon $H_{\infty }$ State Estimation for Discrete Time-Varying Artificial Neural Networks: An Accumulation-Based Event-Triggered Mechanism-Reference-Cited by-同舟云学术

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Finite-Horizon $H_{\infty }$ State Estimation for Discrete Time-Varying Artificial Neural Networks: An Accumulation-Based Event-Triggered Mechanism

Published:2022-11-01 Issue:6 Volume:9 Page:4184-4197
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Guo Jiyue¹^ORCID,Wang Zidong¹^ORCID,Zou Lei²^ORCID,Dong Hongli³^ORCID

Affiliation:

1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

2. College of Information Science and Technology, Donghua University, Shanghai, China

3. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China

Funder

National Natural Science Foundation of China

Royal Society of the U.K.

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/9933169/09849064.pdf?arnumber=9849064

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