Methods of Model Based Process Control

R. Berber

ISBN 10: 0792335244 / ISBN 13: 9780792335245

Published by Springer Netherlands Mai 1995, 1995

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 844 pp. Englisch.

Seller Inventory # 9780792335245

Bibliographic Details

• Title: Methods of Model Based Process Control
• Publisher: Springer Netherlands Mai 1995
• Publication Date: 1995
• Language: English
• ISBN 10: 0792335244
• ISBN 13: 9780792335245
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 50D millimeters 241 millimeters width by 160 millimeters height by 50 millimeters depth
• Weight: 1414 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.