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
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Table of contents (53 chapters)
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Foundations and History of NMPC
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- Eduardo F. Camacho, Carlos Bordons
Pages 1-16
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Theoretical Aspects of NMPC
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- S. Emre Tuna, Ricardo G. Sanfelice, Michael J. Messina, Andrew R. Teel
Pages 17-34
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- Eva Gyurkovics, Ahmed M. Elaiw
Pages 35-48
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- Mayuresh V. Kothare, Zhaoyang Wan
Pages 49-62
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- John Anthony Rossiter, Bert Pluymers, Bart De Moor
Pages 63-76
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- Prashant Mhaskar, Nael H. El-Farra, Panagiotis D. Christofides
Pages 77-91
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- M. Lazar, W. P. M. H. Heemels, A. Bemporad, S. Weiland
Pages 93-103
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- L. Grüne, D. Nešić, J. Pannek
Pages 105-113
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- Fernando A. C. C. Fontes, Lalo Magni, Eva Gyurkovics
Pages 115-129
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- T. Alamo, M. Fiacchini, A. Cepeda, D. Limon, J. M. Bravo, E. F. Camacho
Pages 131-139
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- Meka Srinivasarao, Sachin C. Patwardhan, R. D. Gudi
Pages 141-149
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- Tobias Raff, Christian Ebenbauer, Prank Allgöwer
Pages 151-162
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Numerical Aspects of NMPC
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- Hans Georg Bock, Moritz Diehl, Peter Kühl, Ekaterina Kostina, Johannes P. Schiöder, Leonard Wirsching
Pages 163-179
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- Alexandra Grancharova, Tor A. Johansen, Petter Tøndel
Pages 181-192
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- V. Sakizlis, K. I. Kouramas, N. P. Faisca, E. N. Pistikopoulos
Pages 193-205
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- Adrian G. Wills, William P. Heath
Pages 207-216
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- Christopher E. Long, Edward P. Gatzke
Pages 217-228
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- Andrey Romanenko, Lino O. Santos
Pages 229-238
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Robustness, Robust Design, and Uncertainty
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- Lalo Magni, Riccardo Scattolini
Pages 239-254
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.
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)