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Beschreibung

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 [...]

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 [...]

Über den Autor
Dr. Khaled has extensive industrial and academic experience in the field of dynamics, controls and IoT solutions. He is currently an Assistant professor in Prince Mohammad Bin Fahd University. He is an innovator with more than 30 patents and patent applications in the fields of smart systems and energy. He is the author of "Practical Design and Application of Model Predictive Control". He also has numerous publications in the field of controls and autonomous navigation. Dr. Khaled is a green-belt six sigma certified. He received the status of "Outstanding Researcher" granted by the U.S Government in 2012.
Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2018
Fachbereich: Fertigungstechnik
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780128139189
ISBN-10: 0128139188
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Khaled, Nassim
Pattel, Bibin
Hersteller: Elsevier Inc
Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, D-51149 Köln, produktsicherheit@kolibri360.de
Maße: 229 x 152 x 14 mm
Von/Mit: Nassim Khaled (u. a.)
Erscheinungsdatum: 09.05.2018
Gewicht: 0,359 kg
Artikel-ID: 126702198