techniques of model-based control int
β Scribed by Coleman Brosilow, Babu Joseph
- Publisher
- Prentice Hall
- Year
- 2002
- Tongue
- English
- Leaves
- 704
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Techniques of Model-Based Control is a practical guide to the latest advances in model based control for chemical process engineering. Focused on solving real-world problems, it covers continuous-time modeling, internal model control, IMC systems and design, 2DOF control, identification, predictive control, and much more.
π SIMILAR VOLUMES
Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section o
<p>Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of <em>Methods of Model Based</em><em>Process Control</em> will find state of the art reports on model based control tec
<p>Particulate processes are characterized by the co-presence of a continΒ uous phase and a dispersed (particulate) phase, and are widely used in industry for the manufacturing of many high-value products. Examples include the crystallization of proteins for pharmaceutical applications, the emulsion
<div><p>This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systemsβboth component-level and identification-based models will be extensively studied and compared; and (2) advanced nonlinear control designs
<p><span>This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systemsβboth component-level and identification-based models will be extensively studied and compared; and (2) advanced nonlinear control design