Gaussian Processes for Advanced Motion Control

The Rate of Entropy for Gaussian Processes

In this paper, we show that in order to obtain the Tsallis entropy rate for stochastic processes, we can use the limit of conditional entropy, as it was done for the case of Shannon and Renyi entropy rates. Using that we can obtain Tsallis entropy rate for stationary Gaussian processes. Finally, we derive the relation between Renyi, Shannon and Tsallis entropy rates for stationary Gaussian proc...

Electromembrane Processes, a Toolbox for Advanced Separations

Singular ergodic control for multidimensional Gaussian processes

electromembrane processes, a toolbox for advanced separations

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Nonlinear Modelling and Control using Gaussian Processes

In many scientific disciplines it is often required to make predictions about how a system will behave or to deduce the correct control values to elicit a particular desired response. Efficiently solving both of these tasks relies on the construction of a model capturing the system’s operation. In the most interesting situations, the model needs to capture strongly nonlinear effects and deal wi...