Abstract: In this work, we introduce a data-driven feed-forward control approach for hydraulic cylinders using Gaussian process regression. Gaussian process (GP) models provide advantageous features ...
Abstract: In the realm of neuroprosthetics, the imperative for hardware-efficient, faster spiking neuron models, reproducing spiking patterns with better precision, has emerged as a pivotal necessity; ...