Model-Based Control of Particulate Processes

Panagiotis D. Christofides

ISBN 10: 1402009364 / ISBN 13: 9781402009365

Published by Kluwer Academic Publishers, 2002

About this Item

Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows light wear. 205 pages.

Seller Inventory # 119513

Bibliographic Details

• Title: Model-Based Control of Particulate Processes
• Publisher: Kluwer Academic Publishers
• Publication Date: 2002
• Language: English
• ISBN 10: 1402009364
• ISBN 13: 9781402009365
• Binding: Hard Cover
• Condition: Good
• Dust Jacket Condition: No Jacket
• Book Type: Ex-Library

About this title

Synopsis

Particulate processes are characterized by the co-presence of a contin­ 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 polymerization reactors for the production of latex, the aerosol synthesis of titania powder used in the production of white pig­ ments, and the thermal spray processing of nanostructured coatings. It is now well understood that the physico-chemical and mechanical properties of materials made with particulates depend heavily on the characteristics of the corresponding particle size distribution. This fact, together with recent advances in dynamics of infinite-dimensional sys­ tems and nonlinear control theory, has motivated extensive research on model-based control of particulate processes using population balances to achieve tight control of particle size distributions. This book - the first of its kind - presents general methods for the synthesis of nonlinear, robust and constrained feedback controllers for broad classes of particulate process models and illustrates their applica­ tions to industrially-important crystallization, aerosol and thermal spray processes. The controllers use a finite number of measurement sensors and control actuators to achieve stabilization of the closed-loop system, output tracking, attenuation of the effect of model uncertainty and han­ dling of actuator saturation.