迭代学习模型预测控制研究现状与挑战
Published in Rare & Special e-Zone (The Hong Kong University of Science and Technology) • Jan 1, 2022
NobleIDNI9P15W65R28S75
Authors:,,
Le Le Ma
Xiang Jie Liu
Fu Rong Gao
Abstract
After more than 20 years of development, iterative learning model predictive control (ILMPC) has made great progress in the aspects of theory and application. Since batch processes are featured by strong complexity, diversity, structural variety and high degree of refinement, the existing theories a...
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