Model Predictive Control (MPC) is one of the recent control technique developed by control engineers and is gaining popularity in the last decade. The applications of MPC are not just limited to Process industries, Aerospace, Power system, Drives, Renewable Energy systems etc.
For Understanding this control one can refer [1] and the corresponding MATLAB code are available at the below link:
http://extras.springer.com/2007/978-0-85729-398-5
The nonlinear version of MPC is called Nonlinear Predictive control
For understanding Nonlinear Predictive Control refer [2] and the MATLAB codes are available at the below link
http://extras.springer.com/2017/978-3-319-46023-9/matlab
References:
[1] Camacho, Eduardo F., and Carlos Bordons Alba, "Model predictive control. Springer Science & Business Media", springer, 2013.
For Understanding this control one can refer [1] and the corresponding MATLAB code are available at the below link:
http://extras.springer.com/2007/978-0-85729-398-5
The nonlinear version of MPC is called Nonlinear Predictive control
For understanding Nonlinear Predictive Control refer [2] and the MATLAB codes are available at the below link
http://extras.springer.com/2017/978-3-319-46023-9/matlab
References:
[1] Camacho, Eduardo F., and Carlos Bordons Alba, "Model predictive control. Springer Science & Business Media", springer, 2013.
[2] Grüne, Lars, Pannek, Jürgen, "Nonlinear Model Predictive Control : Theory and Algorithms", springer, 2017.
