The Convergence of Data-Driven Optimal Iterative Learning Control for Linear Multi-Phase Batch Processes

For multi-phase batch processes with different dimensions whose dynamics can be described as a linear discrete-time-invariant system in each phase, a data-driven optimal ILC was explored using multi-operation input and output data that subordinate a tracking performance criterion. An iterative learn...

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Bibliographic Details
Main Authors: Yan Geng, Shouqin Wang, Xiaoe Ruan
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/13/2304