Model Predictive Control: Theory and Design
by James B. Rawlings, University of Wisconsin
and David Q. Mayne, Imperial College
Nob Hill Publishing is pleased to announce the availability of the textbook "Model Predictive Control: Theory and Design," by James B. Rawlings, University of Wisconsin-Madison, and David Q. Mayne, Imperial College London.
This text provides a comprehensive and foundational treatment of the theory 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 200 end-of-chapter exercises support the teaching and learning of MPC.
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`` 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:Lund University, Sweden
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