Model Predictive Control: Theory and Design Contributed by: James B. Rawlings, [log in to unmask] Nobhill Publishing http://www.nobhillpublishing.com/ ISBN 978-0-9759377-0-9 576 pages hardcover US$110 list 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 enables researchers to learn and teach the fundamentals of MPC without continually 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. A solution manual for end-of-chapter exercises is available to course instructors who adopt the text. Appendices A-C are available on the web. Sample homeworks and exams for a one-semester graduate course are available at: www.che.wisc.edu/~jbraw/mpc. Order electronically here: http://www.nobhillpublishing.com/mpc/index-mpc.html Table of Contents 1. Getting Started with Model Predictive Control 2. Model Predictive Control - Regulation 3. Robust Model Predictive Control 4. State Estimation 5. Output Model Predictive Control 6. Distributed Model Predictive Control 7. Explicit Control Laws for Constrained Linear Systems A. Mathematical Background B. Stability Theory C. Optimization The authors received the 2011 inaugural IFAC High Impact Paper award for an MPC review paper that preceded the text. The text was also recognized in the 2011 Ragazzini (Education) Award of the American Automatic Control Council. This book has been adopted for graduate courses at nine universities in six countries.