Description: Model Predictive Control System Design and Implementation Using MATLAB (R) Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Liuping Wang Format: Paperback Publisher: Springer London Ltd, United Kingdom Imprint: Springer London Ltd ISBN-13: 9781849968362, 978-1849968362 Synopsis Model Predictive Control System Design and Implementation Using MATLAB (R) proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB (R) programs and exercises.
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Location: Aldershot
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Book Title: Model Predictive Control System Design and Implementation Usin...
Number of Pages: 378 Pages
Publication Name: Model Predictive Control System Design and Implementation Using Matlab (R)
Language: English
Publisher: Springer London LTD
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2010
Type: Textbook
Item Weight: 623 g
Subject Area: Mechanical Engineering, Chemical Engineering, Electrical Engineering
Author: Liuping Wang
Item Width: 155 mm
Series: Advances in Industrial Control
Format: Paperback
