What is the main focus of 'Practical Design and Application of Model Predictive Control'?

This book primarily focuses on the principles and practical applications of Model Predictive Control (MPC) using MATLAB® and Simulink®. It offers a comprehensive overview of MPC theory while integrating real-world examples that illustrate its implementation. The book is structured to cater to both beginners and experienced users who want to deepen their understanding of MPC. By simulating scenarios in MATLAB®, users can extensively explore system behavior and control strategies, making it particularly useful for engineers and students interested in automated control systems.

Who is the target audience for this book?

The target audience includes engineers, researchers, and students in fields such as control engineering, automation, and applied mathematics. The book's accessible writing style, coupled with practical examples, makes it beneficial for both novice students seeking to learn MPC concepts and professionals looking to apply these techniques in their work. Additionally, educators can use this book as a valuable resource for designing coursework that integrates theoretical aspects with practical applications in MATLAB® and Simulink®.

Does the book include MATLAB® examples for MPC?

Yes, the book is rich in MATLAB® examples that demonstrate the application of Model Predictive Control in different scenarios. These examples serve as a bridge between theory and practice, enabling readers to experiment with control designs and understand the nuances of MPC in a simulation environment. By following the examples, users can learn how to model their systems effectively and implement MPC strategies, which is particularly advantageous for those who prefer practical learning.

What are the benefits of using Simulink® with MPC as described in the book?

Using Simulink® in conjunction with MPC simplifies the simulation and visualization of dynamical systems. The book illustrates how users can create block diagrams to represent control systems, making it easier to simulate responses and identify system behavior under various conditions. This feature is crucial for engineers and researchers who need to analyze system performance and refine their control strategies before applying them to real-world applications, ensuring a smoother development process.

Can this book help in industry applications of MPC?

Absolutely. The book not only covers theoretical concepts but also provides practical insights that are vital for industry applications of Model Predictive Control. Industries such as aerospace, automotive, and manufacturing can benefit from the methodologies outlined in the book, as they enhance efficiency and performance in system controls. By following the guidelines and examples, practitioners can implement MPC in their operations to achieve optimal control of complex systems.

Is prior knowledge of MPC required to understand the content?

While a basic understanding of control theory is beneficial, prior knowledge of Model Predictive Control is not strictly required to grasp the content of the book. The author presents core concepts progressively, enabling novices to follow along while more experienced users can dive deeper into advanced topics. This approach ensures that readers from diverse backgrounds can learn at their own pace and gain substantial knowledge about MPC applications.

Will this book assist in academic research related to control systems?

Yes, this book is an excellent resource for academic research in control systems. It provides comprehensive coverage of both theoretical foundations and practical implementations of Model Predictive Control, making it suitable for research projects. Graduate students and researchers can utilize the methodologies and case studies presented in the book to enrich their studies or explore new avenues in control system design, thereby expanding the body of knowledge in the field.

Are there software tools required to work through the examples in the book?

Yes, to effectively work through the examples and applications presented in the book, users will need access to MATLAB® and Simulink®. The examples are specifically designed to run within these environments, which provide the necessary tools for simulation and modeling. This level of interactivity not only aids comprehension but also allows users to experiment with parameters and control settings, enhancing their learning and application of MPC principles in a hands-on manner.

What makes this book distinct from other MPC literature?

This book stands out due to its practical approach, combining theoretical underpinnings of Model Predictive Control with tangible examples and MATLAB® simulations. Many texts focus purely on theory, but this book emphasizes implementation, guiding readers through real-world applications and scenarios. This unique integration of concepts with hands-on experience makes it a valuable addition for those looking to apply MPC in practical settings, compared to more theory-heavy alternatives.

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Practical Design and Application of Model Predictive Control: MPC for MATLAB and Simulink Users

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®.

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Practical Design and Application of Model Predictive Control: MPC for MATLAB and Simulink Users

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What Stands Out

Comprehensive Guide

Provides detailed instructions and practical applications for Model Predictive Control tailored for MATLAB® and Simulink®, addressing both beginners and advanced users in control engineering.

Hands-on Examples

Includes real-world case studies and hands-on examples, ensuring that users can immediately apply concepts and techniques to their own projects, bridging theory with practical application.

Expert Insights

Written by industry experts, offering unique insights and best practices in MPC, ensuring readers benefit from professional experience and enhance their skills in modern control strategies.

Produkta informācija

Comprehensive guide on designing, tuning, and deploying Model Predictive Control (MPC) using MATLAB® and Simulink®
Covers diverse examples such as double-Mass spring system, ship heading and speed control, robustness analysis, photovoltaic optimal control, and energy management
Provides insights on embedding MPC controller in real-time platforms like Arduino®
Includes step-by-step solutions for nonlinear and challenging problems with thoroughly documented results for easy replication
Offers free download of MATLAB® and Simulink® codes for the solutions
Readers can access additional free resources and connect with the authors through the dedicated website www.practicalmpc.com

Publisher	Butterworth-Heinemann
Publication date	May 23, 2018
Edition	1st
Language	English
Print length	262 pages
ISBN-10	0128139188
ISBN-13	978-0128139189
Item Weight	1.1 pounds (500 grams)
Dimensions	5.98 x 0.62 x 9.02 inches (15.2 x 1.6 x 22.9 cm)

Who Should Buy?

Control Engineers
Engineers focused on optimizing dynamic systems will gain essential insights and practical applications of Model Predictive Control.
Academic Researchers
Researchers in automation and control theory can enhance their work with practical MPC applications and MATLAB Simulink examples.
Students and Educators
Students in engineering programs will benefit from the hands-on approach to learning Model Predictive Control concepts.

Beginner Users
Those new to control systems may find the content too advanced without foundational knowledge of the subject.

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Practical Design and Application of Model Predictive Control: MPC for MATLAB and Simulink Users

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Comprehensive guide to design and tune MPC controllers using MATLAB® and Simulink®
Examples range from double-Mass spring system to energy management of power-split and air-handling control
Solutions are thoroughly documented with free MATLAB® and Simulink® codes available for download
Readers can connect with authors through dedicated website for additional free resources

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