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.
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