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Andrea Giantomassi
Researcher at Marche Polytechnic University
Publications - 31
Citations - 874
Andrea Giantomassi is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Artificial neural network & Fault detection and isolation. The author has an hindex of 14, co-authored 31 publications receiving 754 citations. Previous affiliations of Andrea Giantomassi include Sant'Anna School of Advanced Studies.
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Journal ArticleDOI
Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies
Gabriele Comodi,Andrea Giantomassi,Marco Severini,Stefano Squartini,Francesco Ferracuti,Alessandro Fonti,Davide Nardi Cesarini,Matteo Morodo,Fabio Polonara +8 more
TL;DR: In this paper, the authors present the operational results of a real life residential microgrid which includes six apartments, a 20kWp photovoltaic plant, a solar based thermal energy plant, and a geothermal heat pump, in the form of a 1300l water tank and two 5.8kWh batteries supplying, each, a couple of apartments.
Journal ArticleDOI
Electric Motor Fault Detection and Diagnosis by Kernel Density Estimation and Kullback–Leibler Divergence Based on Stator Current Measurements
TL;DR: This paper deals with the problem of fault detection and diagnosis of induction motor based on motor current signature analysis with Kernel density estimation (KDE) and Kullback-Leibler divergence used as an index to identify the dissimilarity between two probability distributions.
Journal ArticleDOI
Discrete time sliding mode control of robotic manipulators: Development and experimental validation
Maria Letizia Corradini,Valentino Fossi,Andrea Giantomassi,Gianluca Ippoliti,Sauro Longhi,Giuseppe Orlando +5 more
TL;DR: In this paper, a robust discrete-time sliding mode control coupled with an uncertainty estimator designed for planar robotic manipulators is presented, where the tracking errors are proved, as well as boundedness of the estimation error with arbitrary precision.
Proceedings ArticleDOI
Discrete time sliding mode control of robotic manipulators: Development and experimental validation
Valentino Fossi,Andrea Giantomassi,Gianluca Ippoliti,Sauro Longhi,Giuseppe Orlando,Maria Letizia Corradini +5 more
TL;DR: This paper presents a discrete-time sliding mode control based on prediction compensation of uncertainties for planar robotic manipulators based on Autoregressive models, identified on-line by Kalman Filters.
Journal ArticleDOI
Minimal Resource Allocating Networks for Discrete Time Sliding Mode Control of Robotic Manipulators
Maria Letizia Corradini,Valentino Fossi,Andrea Giantomassi,Gianluca Ippoliti,Sauro Longhi,Giuseppe Orlando +5 more
TL;DR: A discrete-time sliding mode control based on neural networks designed for robotic manipulators that produces good trajectory tracking performance and it is robust in the presence of model inaccuracies, disturbances and payload perturbations is presented.