Rational Feedforward Tuning Using Variance-Optimal Instrumental Variables Method Based on Dual-Loop Iterative Learning Control-Reference-Cited by-同舟云学术

Rational Feedforward Tuning Using Variance-Optimal Instrumental Variables Method Based on Dual-Loop Iterative Learning Control

Published:2023-03 Issue:3 Volume:19 Page:2585-2595
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Min¹^ORCID,Xiong Jiaxi¹,Cheng Rong²,Zhu Yu²^ORCID,Yang Kaiming²^ORCID,Sun Fanming¹

Affiliation:

1. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China

2. State Key Laboratory of Tribology, Department of Mechanical Engineering, Key Laboratory of Precision/Ultra-Precision Manufacturing Equipments and Control, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

National Science and Technology Major Project of China

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/ielx7/9424/10064202/09756218.pdf?arnumber=9756218

Reference29 articles.

1. Multivariable Iterative Learning Control Design Procedures: From Decentralized to Centralized, Illustrated on an Industrial Printer

2. Synthesis of robust multivariable iterative learning controllers with application to a wafer stage motion system

3. Batch-to-Batch Rational Feedforward Control: From Iterative Learning to Identification Approaches, With Application to a Wafer Stage

4. Fixed structure feedforward controller design exploiting iterative trials: Application to a wafer stage and a desktop printer;meulen;J Dyn Syst Meas Control,2008

5. Data‐driven approach to iterative learning control via convex optimisation

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design, modeling and control of high-bandwidth nano-positioning stages for ultra-precise measurement and manufacturing: a survey;International Journal of Extreme Manufacturing;2024-09-12

2. Energy-Selected Iterative Learning Control: A Novel Perspective to Analyze Precision Motion Control Tasks;IEEE Transactions on Industrial Informatics;2024-08

3. Data-Driven Robust Iterative Learning Predictive Control for MIMO Nonaffine Nonlinear Systems With Actuator Constraints;IEEE Transactions on Industrial Informatics;2024-07

4. Iterative Learning Control Based on Neural Network and Its Application to Ni-Mn-Ga Alloy Actuator With Local Lipschitz Nonlinearity;IEEE Transactions on Industrial Informatics;2024-06

5. Filter-type iterative learning control for distributed parameter system with variable tracking trajectory and sensor/actuator networks;International Journal of Dynamics and Control;2024-03-23