Cantitate/Preț
Produs

Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process: Emerging Methodologies and Applications in Modelling, Identification and Control

Autor Chunhua Yang, Bei Sun
en Limba Engleză Paperback – 28 ian 2021
Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Process 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
Citește tot Restrânge

Din seria Emerging Methodologies and Applications in Modelling, Identification and Control

Preț: 81375 lei

Preț vechi: 115107 lei
-29%

Puncte Express: 1221

Preț estimativ în valută:
15590 16887$ 13370£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780128195925
ISBN-10: 0128195924
Pagini: 244
Ilustrații: Approx. 100 illustrations
Dimensiuni: 151 x 229 x 15 mm
Greutate: 0.34 kg
Editura: ELSEVIER SCIENCE
Seria Emerging Methodologies and Applications in Modelling, Identification and Control


Public țintă

Graduate students majoring in process control and automation; Control engineers in the process industries; Academic researchers/lecturers for teaching and research reference

Cuprins

Part I Background 1. Introduction 2. Modeling and optimal control framework for the solution purification process
Part II Modeling and optimal control of the copper removal process 3. Kinetic modeling of the competitive-consecutive reaction system 4. Additive requirement ratio estimation using trend distribution features 5. Real-time adjustment of zinc powder dosage based on fuzzy logic
Part III Modeling and optimal control of the cobalt removal process 6. Integrated modeling of the cobalt removal process 7. Intelligent optimal setting control of the cobalt removal process 8. Control of the cobalt removal process under multiple working conditions
Part IV System development and future research 9. Intelligent control system development 10. Conclusions and future research