Nonconvex Activation Noise-Suppressing Neural Network for Time-Varying Quadratic Programming: Application to Omnidirectional Mobile Manipulator-Reference-Cited by-同舟云学术

Nonconvex Activation Noise-Suppressing Neural Network for Time-Varying Quadratic Programming: Application to Omnidirectional Mobile Manipulator

Published:2023-11 Issue:11 Volume:19 Page:10786-10798
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Sun Zhongbo¹^ORCID,Tang Shijun¹,Jin Long²,Zhang Jiliang³^ORCID,Yu Junzhi⁴^ORCID

Affiliation:

1. Department of Control Engineering, Changchun University of Technology, Changchun, China

2. School of Information Science and Engineering, Lanzhou University, Lanzhou, China

3. College of Information Science and Engineering, Northeastern University, Shenyang, China

4. State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Innovation and Entrepreneurship Talent funding Project of Jilin Province

Changchun Science and Technology Planning Project

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10255543/10035416.pdf?arnumber=10035416

Reference30 articles.

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3. Model predictive current control of grid-connected neutral-point-clamped converters to meet low-voltage ride-through requirements;jin;IEEE Trans Ind Electron,2015

4. A new recurrent neural network for solving convex quadratic programming problems with an application to the k-winners-take-all problem;hu;IEEE Trans Neural Netw,2009

5. Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications

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