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A First Course in Predictive Control

A First Course in Predictive Control
Author: J.A. Rossiter
Publisher: CRC Press
Total Pages: 402
Release: 2018-04-17
Genre: Technology & Engineering
ISBN: 1351597167

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The book presents a significant expansion in depth and breadth of the previous edition. It includes substantially more numerical illustrations and copious supporting MATLAB code that the reader can use to replicate illustrations or build his or her own. The code is deliberately written to be as simple as possible and easy to edit. The book is an excellent starting point for any researcher to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems for readers are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation.


A First Course in Predictive Control

A First Course in Predictive Control
Author: J.A. Rossiter
Publisher: CRC Press
Total Pages: 463
Release: 2018-04-17
Genre: Technology & Engineering
ISBN: 1351597159

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The book presents a significant expansion in depth and breadth of the previous edition. It includes substantially more numerical illustrations and copious supporting MATLAB code that the reader can use to replicate illustrations or build his or her own. The code is deliberately written to be as simple as possible and easy to edit. The book is an excellent starting point for any researcher to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems for readers are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation.


Predictive Control

Predictive Control
Author: Jan Marian Maciejowski
Publisher: Pearson Education
Total Pages: 362
Release: 2002
Genre: Psychology
ISBN: 9780201398236

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Model predictive control is an indispensable part of industrial control engineering and is increasingly the "method of choice" for advanced control applications. Jan Maciejowski's book provides a systematic and comprehensive course on predictive control suitable for final year students and professional engineers. The first book to cover constrained predictive control, the text reflects the true use of the topic in industry.


Model Predictive Control

Model Predictive Control
Author: Eduardo F. Camacho
Publisher: Springer Science & Business Media
Total Pages: 405
Release: 2013-01-10
Genre: Technology & Engineering
ISBN: 0857293982

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The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.


Model Predictive Control System Design and Implementation Using MATLAB®

Model Predictive Control System Design and Implementation Using MATLAB®
Author: Liuping Wang
Publisher: Springer Science & Business Media
Total Pages: 398
Release: 2009-02-14
Genre: Technology & Engineering
ISBN: 1848823312

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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.


Predictive Control for Linear and Hybrid Systems

Predictive Control for Linear and Hybrid Systems
Author: Francesco Borrelli
Publisher: Cambridge University Press
Total Pages: 447
Release: 2017-06-22
Genre: Mathematics
ISBN: 1107016886

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With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).


Predictive Control

Predictive Control
Author: Yugeng Xi
Publisher: John Wiley & Sons
Total Pages: 391
Release: 2019-11-12
Genre: Technology & Engineering
ISBN: 1119119545

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This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.


Model Predictive Control

Model Predictive Control
Author: James Blake Rawlings
Publisher:
Total Pages: 770
Release: 2017
Genre: Control theory
ISBN: 9780975937754

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Applied Predictive Control

Applied Predictive Control
Author: Sunan Huang
Publisher: Springer Science & Business Media
Total Pages: 276
Release: 2013-03-09
Genre: Mathematics
ISBN: 1447137256

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This focused treatment includes the fundamentals and some state-of-the-art developments in the field of predictive control. A substantial part of the book addresses application issues in predictive control, providing several interesting case studies for more application-oriented readers.


Practical Design and Application of Model Predictive Control

Practical Design and Application of Model Predictive Control
Author: Nassim Khaled
Publisher: Butterworth-Heinemann
Total Pages: 262
Release: 2018-05-04
Genre: Technology & Engineering
ISBN: 0128139196

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Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned