Hybrid Intelligent Optimising Control for High-Intensity Magnetic Separating Process of Hematite Ore-Reference-Cited by-同舟云学术

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Hybrid Intelligent Optimising Control for High-Intensity Magnetic Separating Process of Hematite Ore

Published:2007-07 Issue:6 Volume:40 Page:171-175
ISSN:0020-2940
Container-title:Measurement and Control
language:en
Short-container-title:Measurement and Control

Author:

Chai Tianyou¹²,Liu Jinxin¹,Ding Jinliang¹²,Su Chun-Yi³

Affiliation:

1. Key Laboratory of Process Industry Automation, Ministry of Education, Shenyang, China

2. Research Center of Automation, Northeastern University, Shenyang, China

3. Department of Mechanical Engineering, Concordia University, Montreal, Quebec, Canada

Publisher

SAGE Publications

Subject

Applied Mathematics,Control and Optimization,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1177/002029400704000601

Reference13 articles.

1. Control of ball mill grinding circuit using model predictive control scheme

2. A survey of industrial model predictive control technology

3. Model predictive control of a slurry polymerisation reactor

4. A hybrid approach for supervisory control of furnace temperature

5. Optimal-setting control for complicated industrial processes and its application study

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1. An intelligent factory-wide optimal operation system for continuous production process;Enterprise Information Systems;2015-07-13

2. Integrated Optimization for the Automation Systems of Mineral Processing;IEEE Transactions on Automation Science and Engineering;2014-10

3. Optimal operational control for complex industrial processes;Annual Reviews in Control;2014

4. Intelligence-Based Supervisory Control for Optimal Operation of a DCS-Controlled Grinding System;IEEE Transactions on Control Systems Technology;2013-01

5. Knowledge-Based Global Operation of Mineral Processing Under Uncertainty;IEEE Transactions on Industrial Informatics;2012-11

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