nonlinear model predictive control

Gaussian Processes enable data-efficient control of nonlinear batch processes

Researchers have developed a new Gaussian Process-based Model Predictive Control (GP-MLMPC) scheme for nonlinear batch processes. This approach iteratively learns a dynamic model using data from initial batches, improvi…