Buch, Englisch, 262 Seiten, Format (B × H): 156 mm x 232 mm, Gewicht: 436 g
Buch, Englisch, 262 Seiten, Format (B × H): 156 mm x 232 mm, Gewicht: 436 g
ISBN: 978-0-12-813918-9
Verlag: Elsevier Science & Technology
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.
Autoren/Hrsg.
Weitere Infos & Material
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




