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Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Processes. Emerging Methodologies and Applications in Modelling, Identification and Control

  • ID: 4911815
  • Book
  • July 2020
  • Region: Global
  • 320 Pages
  • Elsevier Science and Technology
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Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Processes provides a clear picture on how to develop a mathematical model for complex industrial processes, how to design the optimization strategy, and how to apply control methods in order to achieve desired production target. This book shares the authors' recent ideas/methodologies/algorithms on the intelligent manufacturing of complex industry processes, e.g., how to develop a descriptive framework which could enable the digitalization and visualization of a process and how to develop the controller when the process model is not available.
  • Presents an extended state-space descriptive framework for complex industrial processes
  • Presents scientific problems extracted from real industrial process
  • Proposes novel modeling and control tools for intelligent manufacturing of continuous industries
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Part I: Modeling, optimization and control of solution purification process 1. Introduction 2. Production technology and kinetic analysis 3. Modeling and control of copper removal process based on competitive-consecutive reaction system 4. Dynamic modeling and control of goethite process 5. Gradient optimization of cobalt removal process using oxidation-reduction potential 6. Industrial applications

Part II: Some recent ideas on the modeling and control in the age of intelligent manufacturing 7. Process state space (PSS) descriptive system: extension of traditional state-space description, combined with data-driven modeling 8. Adaptive model-reference control: combination of model-based control MPC and model-free control ADP, which is capable of online identification 9. Conclusions

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Yang, Chunhua
Chunhua Yang has served as a subject matter expert in Advanced Manufacturing Technology (863 Program), a member of Chinese Association of Automation (CAA), a member of the Process Control Technical Committee of CAA, a member of the Technical Committee of Component and Instrument of CAA, a member of the Technical Committee on Control Theory of CAA, Secretary-General of Computer Science Committee in nonferrous Metals Society of China, and Vice-Chair of the IFAC TC 6.2 Mining, Mineral and Metal Processing. She also serves as an associate editor for several journals including Acta Automatica Sinica, Control Theory & Applications, etc. She served as the Chair of the National Organizing Committee in the 5th IFAC workshop on Mining, Mineral and Metal Processing held in Shanghai, August 2018. Prof. Yang has won many prestigious awards and honours, including the Second Prize of National Science and Technology Progress for 3 times
Sun, Bei
Bei Sun obtained his PhD degree in 2015, which was jointly supervised by Central South University and New York University. Since Dec 2015, he is with the School of Information Science and Engineering, Central South University, as a Lecturer. From Dec 2016 to Sep 2018, he is a postdoctoral researcher of the School of Chemical Engineering, Aalto University, Finland. His research interests include process modeling, identification and control, intelligent manufacturing of process industries. He is a recipient of the Fisrt Prize of Science and Technology of the Nonferrous Metals Society of China, and a member of IFAC TC 6.2.
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