Adaptive non-linear control of a real-life fermentation process

Abstract

In this experimental study, two adaptive nonlinear controllers are applied to the control of a continuous stirred tank reactor. In the first approach, the controller used to close the loop is selected via some nonlinear map of the identified model parameters. The emphasis is on approximating the vector field that generates the trajectories of the system. In the second approach, we utilized a nonparametrized model structure to predict the trajectories, not involving a representation of the underlying vector fields.<>