Robust iterative learning control for batch processes with input delay subject to time‐varying uncertainties
Author:
Affiliation:
1. Institute of Advanced Control Technology, Dalian University of TechnologyDalian116024People's Republic of China
2. Institute of Control and Computation Engineering, University of Zielona Góraul. Szafrana 265‐516Zielona GóraPoland
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.2016.0077
Reference40 articles.
1. Control and optimization of batch processes
2. Survey on iterative learning control, repetitive control, and run-to-run control
3. Robust iterative learning control with applications to injection molding process
4. Model based robust control approach for batch crystallization product design
5. Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system
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