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Riccardo M. G. Ferrari

2 accepted papers

2022

Wave-Domain Approach for Cancelling Noise Entering Open Windows

ICASSP 2022accepted

Active control of noise propagating through apertures is commonly realized with closed-loop LMS algorithms. However, these algorithms require a large number of error microphones and provide only local attenuation. Slow convergence and high computational effort are additional disadvantages. We propos…

Cited by 0SourceScholar
2020

A Novel Adaptive Controller for Robot Manipulators Based on Active Inference

RA-L 2020

More adaptive controllers for robot manipulators are needed, which can deal with large model uncertainties. This letter presents a novel active inference controller (AIC) as an adaptive control scheme for industrial robots. This scheme is easily scalable to high degrees-of-freedom, and it maintains

Cited by 94SourceScholar