Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems-Reference-Cited by-同舟云学术

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Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

Published:2024-02 Issue:2 Volume:11 Page:344-361
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Hu Yunfeng¹^ORCID,Zhang Chong¹^ORCID,Wang Bo¹^ORCID,Zhao Jing²^ORCID,Gong Xun³^ORCID,Gao Jinwu¹^ORCID,Chen Hong⁴^ORCID

Affiliation:

1. Jilin University,State KeyLaboratory of Automotive Simulation and Control,Changchun,130025

2. University of Macau,Department of Electromechanical Engineering,Macao,China,999078

3. School of Artificial Intelligence, Jilin University,Changchun,China,130012

4. College of Electronics and Information Engineering, Tongji University,Shanghai,China,200092

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570654/10415853/10415858.pdf?arnumber=10415858

Reference43 articles.

1. Real-Time Iterative Compensation Framework for Precision Mechatronic Motion Control Systems

2. A PD-Type State-Dependent Riccati Equation With Iterative Learning Augmentation for Mechanical Systems

3. An Active Repetitive Learning Control Method for Lateral Suspension Systems of High-Speed Trains

4. Neural network based iterative learning control for magnetic shape memory alloy actuator with iteration-dependent uncertainties

5. Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties

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1. Optimization strategy for inter station speed of fuel cell hybrid electric buses based on dedicated lanes;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

2. Data-Driven Adaptive Controller Based on Hyperbolic Cost Function for Non-Affine Discrete-Time Systems with Variant Control Direction;Applied System Innovation;2024-04-28

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