An integrated robust iterative learning control strategy for batch processes based on 2D system-Reference-Cited by-同舟云学术

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An integrated robust iterative learning control strategy for batch processes based on 2D system

Published:2020-01 Issue: Volume:85 Page:136-148
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Zhou Liuming,Jia Li,Wang Yu-Long,Peng Daogang,Tan Wendan

Funder

National Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference46 articles.

1. A new perspective to graphical characterization of multiagent controllability;Ji;IEEE Trans. Cybern.,2017

2. An overview and deep investigation on sampled-data-based event-triggered control and filtering for networked systems;Zhang;IEEE Trans. Ind. Inform.,2017

3. Leader-following consensus of nonlinear multiagent systems with stochastic sampling;He;IEEE Trans. Cybern.,2017

4. Finite-time leader-follower consensus of networked euler-lagrange systems with external disturbances;He;IEEE Trans. Syst. Man Cybern. Syst.,2018

5. Model-based iterative learning control for batch processes using generalized hinging hyperplanes;Yu;Ind. Eng. Chem. Res.,2013

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2. An integrated tube robust iterative learning model predictive control strategy based on dynamic partial least squares algorithm for batch processes;The Canadian Journal of Chemical Engineering;2024-04-17

3. Pseudo-model-based iterative learning control for nonlinear multi-phase batch processes;Transactions of the Institute of Measurement and Control;2024-04-13

4. Robust model-based predictive iterative learning control for systems with non-repetitive disturbances;Nonlinear Analysis: Hybrid Systems;2024-02

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