A Strictly Predefined-Time Convergent and Noise-Tolerant Neural Model for Solving Linear Equations With Robotic Applications-Reference-Cited by-同舟云学术

A Strictly Predefined-Time Convergent and Noise-Tolerant Neural Model for Solving Linear Equations With Robotic Applications

Published:2024-01 Issue:1 Volume:71 Page:798-809
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Li Weibing¹^ORCID,Guo Cheng²^ORCID,Ma Xin³^ORCID,Pan Yongping⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, and the Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China

2. Shenzhen Key Laboratory of High Performance Nontraditional Manufacturing, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China

3. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong

4. School of Advanced Manufacturing, Sun Yat-sen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangzhou Basic and Applied Basic Research Foundation

Fundamental Research Funds for the Central Universities, Sun Yat-sen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

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