The Model-on-Demand Model Predictive Control Toolbox allows the user to efficiently evaluate data properties for nonlinear modeling, validate user decisions for Model-on-Demand estimation, and incorporate the estimator in a GPC type predictive controller to assess control performance. The package is MATLAB-based and consists of:

  • An interactive GUI for visualization and validation of MoD models
  • A Simulink library of MoDMPC controllers
  • A context sensitive web-based help file
  • A step-by-step web-based demo file


The toolbox is compatible with Matlab/SIMULINK version 7.1 and higher.
For access to the MoDMPC toolbox, please email Professor Daniel E. Rivera. Download instructions will be provided, and users will be notified of future updates to the package. The code is provided completely free of charge and by requesting the package, you explicitly agree to our disclaimer.