Comprehensive Study on a Fuzzy Parameter Strategy of Zeroing Neural Network for Time-Variant Complex Sylvester Equation-Reference-Cited by-同舟云学术

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Comprehensive Study on a Fuzzy Parameter Strategy of Zeroing Neural Network for Time-Variant Complex Sylvester Equation

Published:2024-08 Issue:8 Volume:32 Page:4470-4481
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Kong Ying¹^ORCID,Zeng Xuxiang¹^ORCID,Jiang Yunliang²^ORCID,Sun Danfeng³^ORCID

Affiliation:

1. Department of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China

3. Department of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

R&D Program of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10623556/10531002.pdf?arnumber=10531002

Reference34 articles.

1. Control configuration selection for bilinear systems via generalised Hankel interaction index array

2. R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation

3. Fast tensor product solvers for optimization problems with fractional differential equations as constraints

4. Adams-Bashforth-Type Discrete-Time Zeroing Neural Networks Solving Time-Varying Complex Sylvester Equation With Enhanced Robustness

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