Data-Driven Disturbance Rejection Predictive Control for SCR Denitrification System-Reference-Cited by-同舟云学术

Data-Driven Disturbance Rejection Predictive Control for SCR Denitrification System

Published:2016-05-13 Issue:20 Volume:55 Page:5923-5930
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wu Xiao¹,Shen Jiong¹,Sun Shuanzhu²,Li Yiguo¹,Lee Kwang Y.³

Affiliation:

1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing, 210096, China

2. Jiangsu Frontier Electric Technology Co. Ltd., Nanjing, 211102, China

3. Department of Electrical and Computer Engineering, Baylor University, One Bear Place #97356, Waco, Texas 76798-7356, United States

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5b03468

Reference20 articles.

1. Yang, T.; Cui, C.; Lv, Y.; Li, J.Modeling on SCR process of a coal-fired boiler Using LSSVM method. InProceedings of the 27th Chinese Control and Decision Conference, Qingdao, China, May 23–25, 2015; IEEE:New York; pp4025–4028.

2. Steam power plant configuration, design, and control

3. NOX selective catalytic reduction control based on simple models

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