Dipartimento d'Ingegneria

Electrical Engineering - Elettrotecnica

The field studies the theoretical and experimental aspects and the development of related applications of the two complementary strands of EMF and electrical and electronic circuits in civil, industrial and information engineering. In the first field problems of electromagnetic field, electromagnetic compatibility, and magnetofluidodinamics, of modeling and diagnostics of electric and magnetic materials of interest are studied. In the second line we study circuits, both analog and digital, and the related models: linear, nonlinear and time-varying lumped and distributed signal and power, mono and multi-dimensional. The two complementary approaches are applied to the analysis, synthesis, numerical modeling and automatic design of the equipment, devices and electrical systems, engineering of plasmas, thermonuclear fusion, particle accelerators, electrothermics, electromagnetic compatibility, the quality, safety and environmental impact in electrical applications, the circuits for signal processing, neural networks and adaptive circuits, power electronics and conversion of electrical energy.

Elettrotecnica - Didattica

In Downloads ,
Written by Tuesday, 11 December 2018 15:26

Insegnamento: Materiale Didattico

Impianti ed azionamenti elettrici

Elementi di impianti elettrici

Elementi di macchine ed azionamenti elettrici

Elementi di compatibilità elettrica industriale

  • Lezioni di Compatibilità elettrica industriale

Laboratorio di Elettrotecnica

  • Lezioni di Laboratorio di Elettrotecnica

Laboratorio di Elettrotecnica

Written by Monday, 16 February 2015 18:47
Presso la sede del Diparitmento di Ingegneria di Perugia è presente il Laboratorio di Elettrotecnica le cui caratteristiche ed attività sono descritte nel seguente sito web


In Research ,
Written by Friday, 21 March 2014 08:59

Circuiti Elettrici  Seconda edizione

Renzo Perfetti

Zanichelli, 2013

La seconda edizione di Circuiti elettrici mantiene la collaudata impostazione basata su una graduale esposizione della teoria, con particolare attenzione alle tecniche di risoluzione dei problemi, descritte in forma algoritmica e illustrate attraverso numerosi esempi svolti. Alcuni argomenti sono presentati secondo un nuovo ordine, più funzionale alle esigenze didattiche. Molti esempi sono stati aggiornati.

Sito web del libro:



In Research ,
Written by Friday, 21 March 2014 08:52

Recurrent neural network for approximate nonnegative matrix factorization

Giovanni Costantini, Renzo Perfetti, Massimiliano Todisco



A recurrent neural network solving the approximate nonnegative matrix factorization (NMF) problem is presented in this paper. The proposed network is based on the Lagrangian approach, and exploits a partial dual method in order to limit the number of dual variables. Sparsity constraints on basis or activation matrices are included by adding a weighted sum of constraint functions to the least squares reconstruction error. However, the corresponding Lagrange multipliers are computed by the network dynamics itself, avoiding empirical tuning or a validation process. It is proved that local solutions of the NMF optimization problem correspond to as many stable steady-state points of the network dynamics. The validity of the proposed approach is verified through several simulation examples concerning both synthetic and real-world datasets for feature extraction and clustering applications.

To be published in Neurocomputing (2014)

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