Searched for: subject%3A%22activity%22
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Gonzalez Silva, J. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)
As renewable energy sources such as wind farms become dominant, new challenges emerge for operating and controlling them. Traditionally, wind farm control aims to dispatch power set-points to individual turbines to maximize energy extraction and, thus, their usage as assets. Yet, grid balance and frequency support are fundamental in presence...
journal article 2023
document
Ratering, Daan (author), Kleijn, W.B. (author), Gonzalez Silva, J. (author), Ferrari, Riccardo M.G. (author)
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 propose a wave-domain approach that converges...
conference paper 2022
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Baioumy, Mohamed (author), Pezzato, C. (author), Ferrari, Riccardo M.G. (author), Hernández, Carlos (author), Hawes, Nick (author)
This work presents a novel fault-tolerant control scheme based on active inference. Specifically, a new formulation of active inference which, unlike previous solutions, provides unbiased state estimation and simplifies the definition of probabilistically robust thresholds for fault-tolerant control of robotic systems using the free-energy. The...
conference paper 2021
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Pezzato, C. (author), Ferrari, Riccardo M.G. (author), Hernández, Carlos (author)
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 high performance even in the presence of...
journal article 2020
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Pezzato, C. (author), Baioumy, Mohamed (author), Hernández, Carlos (author), Hawes, Nick (author), Wisse, M. (author), Ferrari, Riccardo M.G. (author)
We present a fault tolerant control scheme for robot manipulators based on active inference. The proposed solution makes use of the sensory prediction errors in the free-energy to simplify the residuals and thresholds generation for fault detection and isolation and does not require additional controllers for fault recovery. Results...
conference paper 2020
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