Model Predictive Control System Design and Implementation Using MATLAB / Edition 1
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Model Predictive Control System Design and Implementation Using MATLAB / Edition 1

by Liuping Wang
     
 

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ISBN-10: 1848823304

ISBN-13: 9781848823303

Pub. Date: 03/04/2009

Publisher: Springer London

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

Overview

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.

Product Details

ISBN-13:
9781848823303
Publisher:
Springer London
Publication date:
03/04/2009
Series:
Advances in Industrial Control Series
Edition description:
2009
Pages:
378
Product dimensions:
6.40(w) x 9.50(h) x 1.00(d)

Related Subjects

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.

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