Nonlinear Model Predictive Control

Alex Zheng

ISBN 10: 3764362979 / ISBN 13: 9783764362973

Published by Birkhäuser Basel, Birkhäuser Basel Mär 2000, 2000

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control ¿ Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland.The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 492 pp. Englisch.

Seller Inventory # 9783764362973

Bibliographic Details

• Title: Nonlinear Model Predictive Control
• Publisher: Birkhäuser Basel, Birkhäuser Basel Mär 2000
• Publication Date: 2000
• Language: English
• ISBN 10: 3764362979
• ISBN 13: 9783764362973
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 31D millimeters 241 millimeters width by 160 millimeters height by 31 millimeters depth
• Weight: 898 grams

About this title

Synopsis

During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland.
The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Review

"[A] skillfully assembled and thoroughly reviewed collection of papers...containing some of the latest developments in a rapidly developing area.... To conclude, to anybody interested in nonlinear predictive control, the collection of papers edited by Frank Allgöwer and Alex Zhang is a good starting point. To anybody working on nonlinear predictive control, the collection is a source of inspiration and [a] gold mine of problems." ―Control and Cybernetics