Nassim Khaled, Bibin Pattel

eBook, ePUB

Practical Design and Application of Model Predictive Control (eBook, ePUB)

MPC for MATLAB® and Simulink® Users

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 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

Technische Details

• Geräte: eReader
• ohne Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• E-Mail eines vertrauenswürdigen Mittlers für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

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.Bibin has a Master of Science in Mechanical engineering and 12 years of industrial experience in the field of Controls Design, Software Development and Rapid Prototyping. He is currently working as a Technical Advisor with KPIT Technologies Inc, USA. Bibin has worked on vehicle, aftertreatment, air-handling and engine modelling and controls and on board diagnostic development. He is an expert in Matlab and Simulink as well as Hardware and Software solutions for the control of vehicle and powertrain systems. He has 7 patents and several patent applications and published 5 journal and conference papers. Bibin is the co-author of "Practical Design and Application of Model Predictive Control".

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 262
• Erscheinungstermin: 4. Mai 2018
• Englisch
• ISBN-13: 9780128139196
• Artikelnr.: 50474056