Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Processes

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 processesPresents scientific problems extracted from real industrial processProposes novel modeling and control tools for intelligent manufacturing of continuous industries INDICE: 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

• ISBN: 978-0-12-819592-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 320
• Fecha Publicación: 01/07/2020
• Nº Volúmenes: 1
• Idioma: Inglés