
Practical Design and Application of Model Predictive Control
MPC for MATLAB® and Simulink® Users
- 1st Edition - May 4, 2018
- Imprint: Butterworth-Heinemann
- Authors: Nassim Khaled, Bibin Pattel
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 3 9 1 8 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 3 9 1 9 - 6
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… Read more

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Request a sales quotePractical 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
- Edition: 1
- Published: May 4, 2018
- No. of pages (Paperback): 262
- No. of pages (eBook): 262
- Imprint: Butterworth-Heinemann
- Language: English
- Paperback ISBN: 9780128139189
- eBook ISBN: 9780128139196
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Nassim Khaled
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