Webinar

Abstract:

Hints on the Model Predictive Control (MPC) using Long Short Term Memory (LSTM) as predictors 

The prediction model is the most important part of a MPC strategy. The accuracy of such model influences the quality of predictions and control performance of the algorithm. In some practical cases, a model based on physical equations is not available, or is not easy to get all parameters, or its complexity could affect the real-time computation of the control signal. For this reason, the use of black-box models within a MPC framework becomes attractive, since to fit such models only input and output data are needed.