Intelligent Optimization and Control of Complex Metallurgical Processes

  • Min Wu
  • Weihua Cao
  • Xin Chen
  • Jinhua She

Part of the Engineering Applications of Computational Methods book series (EACM, volume 3)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Min Wu, Weihua Cao, Xin Chen, Jinhua She
    Pages 1-31
  3. Min Wu, Weihua Cao, Xin Chen, Jinhua She
    Pages 33-82
  4. Min Wu, Weihua Cao, Xin Chen, Jinhua She
    Pages 83-133
  5. Min Wu, Weihua Cao, Xin Chen, Jinhua She
    Pages 135-175
  6. Min Wu, Weihua Cao, Xin Chen, Jinhua She
    Pages 223-271
  7. Back Matter
    Pages 273-274

About this book


This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces; intelligent control of thermal state parameters in sintering processes; and intelligent decoupling control of gas collection and mixing-and-pressurization processes. The intelligent control and optimization methods presented were originally applied to complex metallurgical processes by the authors, and their effectiveness and their advantages have been theoretically proven and demonstrated practically. This book offers an up-to-date overview of this active research area, and provides readers with state-of-the-art methods for the control of complex metallurgical processes.


Complex metallurgical process Intelligent control Intelligent optimization Intelligent decoupling control Intelligent integrated control

Authors and affiliations

  • Min Wu
    • 1
  • Weihua Cao
    • 2
  • Xin Chen
    • 3
  • Jinhua She
    • 4
  1. 1.China University of GeosciencesWuhanChina
  2. 2.China University of GeosciencesWuhanChina
  3. 3.China University of GeosciencesWuhanChina
  4. 4.School of EngineeringTokyo University of TechnologyTokyoJapan

Bibliographic information

  • DOI
  • Copyright Information Science Press 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-1144-8
  • Online ISBN 978-981-15-1145-5
  • Series Print ISSN 2662-3366
  • Series Online ISSN 2662-3374
  • Buy this book on publisher's site