Description: Model Predictive Control System Design and Implementation Using MATLAB by Liuping Wang Model Predictive Control System Design and Implementation Using MATLAB® 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; FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Model Predictive Control System Design and Implementation Using MATLAB® 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® programs and exercises. Back Cover Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Implementation Using MATLAB Author Biography Liuping Wang received her PhD in 1989 from the University of Sheffield, UK; subsequently, she was an adjunct associate professor in the Dept. of Chemical Engineering at the University of Toronto, Canada. From 1998 to 2002, she was a senior lecturer and research coordinator in the Center for Integrated Dynamics and Control, University of Newcastle, Australia before joining RMIT University where she is a professor and Head of Discipline of Electrical Engineering. She is the author of two books, joint editor of one book, and has published over 130 papers. Liuping Wang has been actively engaged in industry-oriented research and development since the completion of her PhD studies. Whilst working at the University of Toronto, Canada, she was a co-founder of an industry consortium for the identification of chemical processes. Since her arrival in Australia in 1998, she has been working with Australian government organisations and companies in the areas of food manufacturing, mining, automotive and power services, including Food Science Australia, Uncle Bens Australia, CSR, BHP-Billiton, Pacific Group Technologies, Holden Innovation, Alinta, and ANCA. She leads the Control Systems program at the Australian Advanced Manufacturing Cooperative Research Center (AMCRC) that develops next generation technology platforms for the manufacturing industry. She is also on the Board of Directors of the Australian Power Academy that promotes power-engineering education and raises scholarships from the power industry to support undergraduate students. Table of Contents Discrete-time MPC for Beginners.- Discrete-time MPC with Constraints.- Discrete-time MPC Using Laguerre Functions.- Discrete-time MPC with Prescribed Degree of Stability.- Continuous-time Orthonormal Basis Functions.- Continuous-time MPC.- Continuous-time MPC with Constraints.- Continuous-time MPC with Prescribed Degree of Stability.- Classical MPC Systems in State-space Formulation.- Implementation of Predictive Control Systems. Review From the reviews: "This monograph gives an introduction to model predictive control and recent developments in its design and implementation using Matlab and Simulink. The book is aimed at a wide readership ranging from industrial control engineers to graduate students in the process and control disciplines." (IEEE Control Systems Magazine, Vol. 30, August, 2010) Long Description Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Implementation Using MATLAB Review Quote From the reviews:This monograph gives an introduction to model predictive control and recent developments in its design and implementation using Matlab and Simulink. The book is aimed at a wide readership ranging from industrial control engineers to graduate students in the process and control disciplines. (IEEE Control Systems Magazine, Vol. 30, August, 2010)The book gives an introduction to Model Predictive Control (MPC), and recent developments in design and implementation. … The books approach is expected to appeal to a wide readership ranging from the industrial control engineer to the postgraduate student in the process and control disciplines. Both will find the MATLAB demonstrations of the control concepts a valuable tutorial route to understanding MPC in practice. (Karl-Heinz Waldmann, Zentralblatt MATH, Vol. 1200, 2011) Feature Novel basis-function approach simplifies solution of discrete- and continuous-time problems in a widely-used control design methodology Helps to provide more computationally efficient algorithms for better on-line control than previously attainable with model predictive control Problems and MATLAB Details ISBN1849968365 Author Liuping Wang Publisher Springer London Ltd Series Advances in Industrial Control Year 2010 ISBN-10 1849968365 ISBN-13 9781849968362 Format Paperback Publication Date 2010-10-21 Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom Edition 1st Short Title MODEL PREDICTIVE CONTROL SYSTE Language English Media Book DEWEY 620 Pages 378 AU Release Date 2010-10-21 NZ Release Date 2010-10-21 UK Release Date 2010-10-21 Edition Description Softcover reprint of hardcover 1st ed. 2009 Alternative 9781848823303 Audience Professional & Vocational Illustrations XXX, 378 p. 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ISBN-13: 9781849968362
Book Title: Model Predictive Control System Design and Implementation Using M
Number of Pages: 378 Pages
Language: English
Publication Name: Model Predictive Control System Design and Implementation Using Matlab (R)
Publisher: Springer London Ltd
Publication Year: 2010
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 623 g
Type: Textbook
Author: Liuping Wang
Subject Area: Mechanical Engineering, Chemical Engineering, Electrical Engineering
Item Width: 155 mm
Format: Paperback