With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).
"synopsis" may belong to another edition of this title.
Francesco Borrelli is a chaired Professor at the Department of Mechanical Engineering of the University of California, Berkeley. Since 2004 he has served as a consultant for major international corporations in the area of real-time predictive control. He was the founder and CTO of BrightBox Technologies Inc., and is the co-director of the Hyundai Center of Excellence in Integrated Vehicle Safety Systems and Control at the University of California, Berkeley. His research interests include constrained optimal control, model predictive control and its application to advanced automotive control, robotics and energy efficient building operation.
Alberto Bemporad is a Professor and former Director of the IMT School for Advanced Studies, Lucca. He has published numerous papers on model predictive control and its application in multiple domains. He has been a consultant for major automotive companies and cofounder of ODYS S.r.l., a company specializing in advanced control and optimization software for industrial production. He is the author or coauthor of various MATLAB® toolboxes for model predictive control design, including the Model Predictive Control Toolbox and the Hybrid Toolbox.
Manfred Morari was a Professor and Head of the Department of Information Technology and Electrical Engineering at the Swiss Federal Institute of Technology (ETH), Zurich. During the last three decades he shaped many of the developments and applications of model predictive control (MPC) through his academic research and interactions with companies from a wide range of sectors. The analysis techniques and software developed in his group are used throughout the world. He has received numerous awards and was elected to the US National Academy of Engineering and is a Fellow of the Royal Academy of Engineering.
"About this title" may belong to another edition of this title.
£ 14.79 shipping from U.S.A. to United Kingdom
Destination, rates & speedsSeller: Labyrinth Books, Princeton, NJ, U.S.A.
Condition: Acceptable. Seller Inventory # 219673
Quantity: 1 available
Seller: medimops, Berlin, Germany
Condition: as new. Wie neu/Like new. Seller Inventory # M01107652871-N
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 28531854-n
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781107652873_new
Quantity: Over 20 available
Seller: SecondSale, Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00079054280
Quantity: 1 available
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1038. Seller Inventory # C9781107652873
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control. With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107652873
Quantity: 1 available
Seller: Moe's Books, Berkeley, CA, U.S.A.
Soft cover. Condition: Very good. No jacket. In great condition. The back cover has residue from a torn off sticker. Binding is secure and inside is clean and unmarked. Seller Inventory # 1153398
Quantity: 1 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 28531854
Quantity: Over 20 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 423 pages. 9.50x7.25x1.00 inches. In Stock. This item is printed on demand. Seller Inventory # __1107652871
Quantity: 1 available