A Recursive Approach to Quantized ${H_{\infty}}$ State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols-Reference-Cited by-同舟云学术

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A Recursive Approach to Quantized ${H_{\infty}}$ State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols

Published:2019-09 Issue:9 Volume:30 Page:2840-2852
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wan Xiongbo^ORCID,Wang Zidong^ORCID,Han Qing-Long^ORCID,Wu Min^ORCID

Funder

Taishan Scholar Project of Shandong Province

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

111 project of China

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/8809853/08613894.pdf?arnumber=8613894

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