Nob Hill Publishing, LLC
Model Predictive Control: Theory, Computation, and Design
2nd Edition
by James B. Rawlings, University of California, Santa Barbara
David Q. Mayne, Imperial College, and
Moritz M. Diehl, University of Freiburg
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Nob Hill Publishing is pleased to announce the availability of the
Second Edition of the textbook, Model Predictive Control:
Theory, Computation, and Design,
by James B. Rawlings, University of University of California,
Santa Barbara, David
Q. Mayne, Imperial College London, and Moritz M. Diehl, University of Freiburg.
This text provides a comprehensive and foundational treatment of the
theory, computation, and design of model predictive control. It will enable
researchers to learn and teach the fundamentals of MPC without
continuously searching the diverse control research literature for
omitted arguments and requisite background material. More than 240
end-of-chapter exercises, 49 worked examples, 110 figures, and more
than 300 assumptions, corollaries, definitions, lemmas, propositions,
and theorems.
In the eight years since the publication of the first edition, the
field of MPC has seen tremendous
progress. First and foremost, the algorithms and high-level software
available for solving challenging nonlinear optimal control problems
have advanced significantly. For this reason, we have added a third
coauthor, Professor Moritz M. Diehl, and a new chapter, Chapter 8, ``Numerical Optimal Control,''
which provides a comprehensive treatment of methods for the numerical
solution of the MPC optimization problem.
A solution manual for end-of-chapter exercises is available to
course instructors who adopt the text.
We also have added a software release with the second edition of the
text. The software enables the solution of all of the
examples and exercises in the text requiring numerical calculation.
The software is based on the freely
available CasADi language, and a
high-level set of Octave/Matlab functions,
Octave/MPCTools, to serve as an interface
to CasADi. The text software can be downloaded
from https://engineering.ucsb.edu/~jbraw/mpc
The second edition of the text also treats new topics:
economic MPC, MPC with discrete actuators,
a more recent form of suboptimal MPC,
stochastic MPC,
a new treatment of state estimation,
distributed MPC of nonlinear systems, and
new software to compute the critical regions in explicit MPC.
Latest Printing Available for Download
Appendices A-C,
and the current list of errata
are available on the web.
Sample homeworks and exams for a one-semester graduate course are
available at:
https://engineering.ucsb.edu/~jbraw/mpc.
This text has been sold in more than 40 countries on six continents.
Model Predictive Control: Theory, Computation, and Design, 2nd Edition
Buy now for $85 each
Click here to order
770 pages
illustrations
hardcover
ISBN 978-0-9759377-3-0
US$85 list
(C) 2017
Comments:
Professor Petar Kokotovic, Elec. & Comp. Eng. Dept.,
University of California, Santa Barbara (2009)
`` This is a "tour de force" in a field where the need for such a
comprehensive user-friendly textbook has been felt for many
years. While ideas and techniques of Model Predictive Control have
been popular in both industry and academia for more than two decades,
only now will practicing engineers, engineering students and
instructors be able to use a single volume as a source for both
practical algorithms and their analytical foundations. The authors'
ability to harmonize the pedagogical accessibility of the text with
rigorous proofs of the main results is most impressive. The
presentation is made vivid with an extremely rich collection of
examples and exercises. I consider this work one of the two or three
most successful works in the broad field of control theory.''
RECENT ADOPTIONS:
Clemson University, USA
University of California, Santa Barbara, USA
University of Minnesota, USA
University of Washington, USA
University of Freiburg, Germany
Polytechnic University of Bari, Italy
Lund University, Sweden
RWTH Aachen, Germany
Delft University of Technology, Netherlands
Technical University of Munich, Germany
EPFL, Lausanne, Switzerland
Chalmers University of Technology, Gothenburg, Sweden
University of Magdeburg, Germany
Eindhoven University of Technology, Netherlands
Rensselaer Polytechnic Institute, New York, USA
Technical University of Denmark
University of Houston, USA
University of Southern California, USA
University of Wisconsin-Madison, USA
Check out text sample pages:
Table of Contents
List of Examples and Statements
Learn more about the authors:
Professor James B. Rawlings
Professor David Q. Mayne
Professor Moritz M. Diehl
Check out the computational links:
Links
| Table of Contents
|
James B. Rawlings
|
David Q. Mayne
|
Moritz M. Diehl
| Octave
| MPCTools
| CasADi
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