Constraint data-driven optimal terminal ILC of end product quality for a class of I/O constrained batch processes-Reference-Cited by-同舟云学术

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Constraint data-driven optimal terminal ILC of end product quality for a class of I/O constrained batch processes

Published:2017-08-24 Issue:1 Volume:96 Page:215-222
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Chi Ronghu¹²,Liang Hao²,Lin Na¹,Zhang Ruikun³,Huang Biao⁴

Affiliation:

1. School of Automation & Electronic Engineering; Qingdao University of Science & Technology; Qingdao 266042 P. R. China

2. Department of Electrical and Electronic Engineering; Yantai Nanshan University; Yantai 265713 P. R. China

3. School of Mathematics and Physics; Qingdao University of Science and Technology; Qingdao 266042 P. R. China

4. Department of Chemical and Materials Engineering; University of Alberta; Edmonton AB, T6G 2G6, Canada

Funder

National Natural Science Foundation of China

Alberta Innovates - Technology Futures

Publisher

Wiley

Subject

General Chemical Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjce.22934/fullpdf

Reference48 articles.

1. Batch-to-batch iterative learning control and within-batch on-line control for end-point qualities using MPLS-based dEWMA

2. Batch-to-Batch Iterative Learning Control Using Updated Models Based on a Moving Window of Historical Data

3. Integrating Iterative Learning Estimation with Optimal Control for Batch Productivity Enhancement

4. Iterative learning control for the systematic design of supersaturation controlled batch cooling crystallisation processes

5. Iterative learning control-based batch process control technique for integrated control of end product properties and transient profiles of process variables

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1. A novel PID type iterative learning controller optimized by two‐dimensional infinite horizon linear quadratic iterative learning control for batch processes;The Canadian Journal of Chemical Engineering;2023-07-27

2. Terminal Iterative Learning Control for Nonaffine Nonlinear Systems with Nonrepetitive Uncertainties;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

3. A novel two‐dimensional PID controller design using two‐dimensional model predictive iterative learning control optimization for batch processes;The Canadian Journal of Chemical Engineering;2023-05

4. Dimensional Error Compensation Based on Data-Driven Sliding Mode Terminal Iterative Learning Control for CNC Batch Grinding;Applied Sciences;2023-01-31

5. Data-driven optimal PID type ILC for a class of nonlinear batch process;International Journal of Systems Science;2020-10-01

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