Data-driven set-point learning control with ESO and RBFNN for nonlinear batch processes subject to nonrepetitive uncertainties-Reference-Cited by-同舟云学术

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Data-driven set-point learning control with ESO and RBFNN for nonlinear batch processes subject to nonrepetitive uncertainties

Published:2024-01 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Ahmad Naseem^ORCID,Hao Shoulin,Liu Tao^ORCID,Gong Yihui,Wang Qing-Guo

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference40 articles.

1. Robust iterative learning control with applications to injection molding process;Gao;Chem Eng Sci,2001

2. Calibration-based iterative learning control for path tracking of industrial robots;Zhao;IEEE Trans Ind Electron,2015

3. Model based robust control approach for batch crystallization product design;Nagy;Comput Chem Eng,2009

4. Control and optimization of batch processes;Bonvin;IEEE Control Syst Mag,2006

5. Iterative learning control with incomplete information: a survey;Shen;IEEE/CAA J Autom Sin,2018

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