The Ultimate Guide to Model Predictive Control Advanced Textbooks in Control and Signal Processing

Are you someone who is passionate about control systems and signal processing? Do you want to take your knowledge to the next level and delve deeper into Model Predictive Control (MPC)? If so, you've come to the right place!

What is Model Predictive Control (MPC)?

Model Predictive Control (MPC) is an advanced control technique used in various industries such as automotive, aerospace, process control, and robotics. It is a model-based control strategy that uses an optimization algorithm to predict and optimize future system behavior.

MPC takes into account not only current system states but also future states, enabling it to make intelligent control decisions by solving optimization problems. It has gained significant popularity due to its ability to handle constraints, uncertainty, and nonlinearity effectively.

Model Predictive Control (Advanced Textbooks in Control and Signal Processing)

by Derek Durbin(2nd Edition, Kindle Edition)

4 out of 5

Language	:	English
File size	:	10244 KB
Screen Reader	:	Supported
Print length	:	427 pages
Paperback	:	321 pages
Item Weight	:	14.9 ounces
Dimensions	:	5 x 0.73 x 8 inches

FREE

Why Learn Model Predictive Control?

Model Predictive Control has become a crucial skill for engineers and researchers working in control systems and signal processing. Its widespread applicability and robustness make it highly sought after in industry and academia.

By mastering Model Predictive Control, you can accomplish tasks such as trajectory tracking, disturbance rejection, optimal control, and system identification with high precision. MPC provides a framework to design complex control systems and tackle challenging control problems.

Recommended Advanced Textbooks

As with any complex topic, having access to comprehensive and in-depth resources is essential to effectively learn and understand Model Predictive Control. These advanced textbooks are highly recommended for anyone interested in gaining a solid foundation in MPC:

1. "Model Predictive Control: Theory, Computation, and Design" by James B. Rawlings and David Q. Mayne

This textbook is considered a classic in the field of Model Predictive Control. It provides a comprehensive to the theory, computation, and design aspects of MPC. The book includes numerous real-world examples and exercises, making it suitable for both self-study and classroom use.

2. "Model Predictive Control System Design and Implementation Using MATLAB®" by Liuping Wang, Shan Chai, and Yuanqing Xia

If you are looking for a practical guide to implementing Model Predictive Control using MATLAB®, this is the perfect textbook for you. It covers various MPC design techniques, system identification, and provides step-by-step tutorials on implementing MPC algorithms in MATLAB®.

3. "Predictive Control with Constraints" by Jan Maciejowski

For those interested in understanding the theory and practical aspects of Model Predictive Control with constraints, this textbook delivers a comprehensive treatment. It covers topics such as stability, robustness, and performance analysis and provides valuable insights into handling constraints effectively.

Online Resources

In addition to the recommended textbooks, several online resources can enhance your understanding and assist you in advancing your knowledge in Model Predictive Control:

• Coursera - Model Predictive Control: This online course covers the fundamentals of MPC, including modeling techniques, optimization algorithms, and applications. It is taught by leading experts in the field.
• YouTube - Model Predictive Control for Beginners: This introductory video provides a beginner-friendly overview of MPC and its applications.
• Journal of Process Control: This scientific journal publishes cutting-edge research on various topics related to process control, including MPC.

Model Predictive Control is a fascinating and powerful control technique that finds applications in numerous industries. With the recommended textbooks and online resources, you can embark on a journey to master this exciting field. Keep exploring, stay curious, and enjoy the process of learning Model Predictive Control!

Model Predictive Control (Advanced Textbooks in Control and Signal Processing)

by Derek Durbin(2nd Edition, Kindle Edition)

4 out of 5

Language	:	English
File size	:	10244 KB
Screen Reader	:	Supported
Print length	:	427 pages
Paperback	:	321 pages
Item Weight	:	14.9 ounces
Dimensions	:	5 x 0.73 x 8 inches

FREE

The second edition of "Model Predictive Control" provides a thorough 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.