Data‐driven optimal terminal iterative learning control with initial value dynamic compensation-Reference-Cited by-同舟云学术

Data‐driven optimal terminal iterative learning control with initial value dynamic compensation

Published:2016-08 Issue:12 Volume:10 Page:1357-1364
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Chi Ronghu¹,Huang Biao²,Wang Danwei³,Zhang Ruikun⁴,Feng Yuanjing⁵

Affiliation:

1. College of Automation and Electronics Engineering, Qingdao University of Science and TechnologyQingdao266042People's Republic of China

2. Department of Chemical and Materials EngineeringUniversity of AlbertaEdmontonABT6G 2G6Canada

3. Centre for System Intelligence and Efficiency, School of Electrical & Electronic Engineering, Nanyang Technological UniversitySingapore639798Singapore

4. School of Mathematics and Physics, Qingdao University of Science and TechnologyQingdao266042People's Republic of China

5. School of Information Engineering, Zhejiang University of TechnologyHangzhou310023People's Republic of China

Funder

National Natural Science Foundation of China

Alberta Innovates - Technology Futures

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2015.0824

Reference29 articles.

1. Terminal iterative learning control with an application to RTPCVD thickness control

2. Terminal iterative learning control design with singular value decomposition decoupling for thermoforming ovens;Gauthier G.;American Control Conf.,2009

3. Iterative Learning Control for Final Batch Product Quality Using Partial Least Squares Models

4. Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models

5. A survey of iterative learning control

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