Practical Design and Application of Model Predictive Control

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

Academics and Professional controls engineers working especially with self-driving cars, electric vehicles, smart devices

1. Introduction
2. Theoretical Foundation of MPC
3. MPC Design for a Double Mass-Spring System
4. System Identification for a Ship
5. Single MPC Design for a Ship
6. Multiple MPC Design for a Ship
7. Monte-Carlo Simulations and Robustness Analysis for Multiple MPC of a Ship
8. MPC Design for Photovoltaic Cells
9. Real Time Embedded Target Application of MPC
10. MPC Design for Air-Handling Control of a Diesel Engine