Methods of Model Based Process Control

R. Berber

ISBN 10: 9401040613 / ISBN 13: 9789401040617

Published by Springer Netherlands, Springer Netherlands, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their explorationof the latest trends in the area.

Seller Inventory # 9789401040617

Bibliographic Details

• Title: Methods of Model Based Process Control
• Publisher: Springer Netherlands, Springer Netherlands
• Publication Date: 2012
• Language: English
• ISBN 10: 9401040613
• ISBN 13: 9789401040617
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 47D millimeters 240 millimeters width by 160 millimeters height by 47 millimeters depth
• Weight: 1366 grams

About this title

Synopsis

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 Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges.
Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their explorationof the latest trends in the area.