An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes

池荣虎; 张德霞; 刘喜梅; 侯忠生; 金尚泰

doi:10.1016/S1004-9541(13)60485-2

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An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes

过程系统工程与过程安全 | Updated：2026-01-06

- An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes
- An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes
- 中国化学工程学报（英文版） 2013年21卷第3期页码：271-2751004-954160485-2
- Affiliations：
  
  2 Advanced Control Systems Lab, Beijing Jiaotong University,Beijing,China,100044
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(13)60485-2
  中图分类号：
- 纸质出版：2013
- Accepted：
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池荣虎, 张德霞, 刘喜梅, 等. An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes[J]. 中国化学工程学报（英文版）, 2013,21(3):271-2751004-954160485-2.

CHI Ronghu, ZHANG Dexia, LIU Ximei, HOU Zhongsheng, JIN Shangtai. An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes[J]. Chin.J.Chem.Eng., 2013, 21(3): 271-275.
池荣虎, 张德霞, 刘喜梅, 等. An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes[J]. 中国化学工程学报（英文版）, 2013,21(3):271-2751004-954160485-2. DOI： 10.1016/S1004-9541(13)60485-2.

CHI Ronghu, ZHANG Dexia, LIU Ximei, HOU Zhongsheng, JIN Shangtai. An Anticipatory Terminal Iterative Learning Control Approach with Applications to Constrained Batch Processes[J]. Chin.J.Chem.Eng., 2013, 21(3): 271-275. DOI： 10.1016/S1004-9541(13)60485-2.

摘要

Abstract

This work presents an anticipatory terminal iterative learning control scheme for a class of batch processes

where only the final system output is measurable and the control input is constant in each operations. The proposed approach works well with input constraints provided that the desired control input with respect to the desired trajectory is within the saturation bound. The tracking error convergence is established with rigorous mathematical analysis. Simulation results are provided to show the effectiveness of the proposed approach.

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