Assessment and Future Directions of Nonlinear Model Predictive Control
Overview
- Editors:
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Rolf Findeisen
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Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany
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Frank Allgöwer
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Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany
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Lorenz T. Biegler
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Chemical Engineering Department, Carnegie Mellon University, Pittsburgh, USA
- Results of the international workshop entitled "Assesmentand Future Directions of Nonlinear Model Predictive Control” (NMPC´05), which was held in Freudenstadt-Lauterbad, Germany on August 26-30, 2005
About this book
Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.
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Article
Open access
11 August 2021
Table of contents (53 chapters)
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NMPC and Process Control
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- Renato Lepore, Alain Vande Wouwer, Marcel Remy, Philippe Bogaerts
Pages 485-493
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- D. Sarabia, C. de Prada, S. Cristea, R. Mazaeda, W. Colmenares
Pages 495-502
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- Robin De Keyser, James Donald III
Pages 503-512
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- Anjali Deshpande, Sachin C. Patwardhan, Shankar Narasimhan
Pages 513-521
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NMPC for Fast Systems
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- Darryl DeHaan, Martin Guay
Pages 537-550
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- Sebastien Gros, Davide Buccieri, Philippe Mullhaupt, Dominique Bonvin
Pages 551-563
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Novel Applications of NMPC
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- Xiao-Bing Hu, Wen-Hua Chen
Pages 565-572
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- Masayuki Fujita, Toshiyuki Murao, Yasunori Kawai, Yujiro Nakaso
Pages 573-580
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- Alessandro Casavola, Domenico Famularo, Giuseppe Franzè
Pages 581-589
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Distributed NMPC, Obstacle Avoidance, and Path Planning
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- Aswin N. Venkat, James B. Rawlings, Stephen J. Wright
Pages 591-605
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- William B. Dunbar, S. Desa
Pages 607-615
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- Saša V. Raković, David Q. Mayne
Pages 617-627
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- Juan J. Arrieta-Camacho, Lorenz T. Biegler, Dharmashankar Subramanian
Pages 629-639
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Back Matter
Pages 641-642
Reviews
“It is a wide ranging text covering such areas as hybrid systems, constrained control, LPV systems, nonlinear discrete-time systems and many others. … This is a valuable contribution to the subject and is suitable for researchers and engineers involved in all aspects of nonlinear MPC design and implementation.” (ACTC applied control technology consortium, actc-control.com, March, 2016)