Michele ERMIDORO

Docente a contratto/Visiting professor

Contatti

E-mail:

michele.ermidoro@guest.unibg.it

Sede di lavoro:

DALMINE-VIALE MARCONI (Edificio B)

Insegnamenti

Anno accademico: 2022/2023

AUTOMAZIONE INDUSTRIALE
Anno di corso: 3 - CFU 6 crediti - Corso di laurea: INGEGNERIA INFORMATICA
CONTROL SYSTEM TECHNOLOGY
Anno di corso: 3 - CFU 6 crediti - Corso di laurea: INGEGNERIA INFORMATICA

Anno accademico: 2021/2022

AUTOMAZIONE INDUSTRIALE
Anno di corso: 3 - CFU 6 crediti - Corso di laurea: INGEGNERIA INFORMATICA
INGEGNERIA DEI SISTEMI DI CONTROLLO
Anno di corso: 3 - CFU 6 crediti - Corso di laurea: INGEGNERIA INFORMATICA
LABORATORIO AUTOMATICA
Anno di corso: 2 - CFU 3 crediti - Corso di laurea: INGEGNERIA INFORMATICA

Pubblicazioni

Amodio Alessandro, Ermidoro Michele, Savaresi Sergio Matteo, Previdi Fabio; (2021) Automatic Vehicle Model Recognition and Lateral Position Estimation Based on Magnetic Sensors, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, pp. 2775 - 2785, https://doi.org/10.1109/TITS.2020.2974808, Dettaglio
Obarcanin Kerim, Lacevic Bakir, Ermidoro Michele; (2020) A high-voltage circuit breaker condition assessment method using the vibration fingerprint based on VMD-EM method, I2MTC 2020: International Instrumentation and Measurement Technology Conference, Proceedings, pp. 1 - 6, https://doi.org/10.1109/I2MTC43012.2020.9128669, Dettaglio
Amodio Alessandro, Ermidoro Michele, Maggi Davide, Formentin Simone, Savaresi Sergio Matteo; (2019) Automatic Detection of Driver Impairment Based on Pupillary Light Reflex, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, pp. 3038 - 3048, https://doi.org/10.1109/TITS.2018.2871262, Dettaglio
Amodio Alessandro, Ermidoro Michele, Maggi Davide, Savaresi Sergio Matteo; (2018) A Low-Cost System for Dynamic Analysis of Pupillary Light Response for a Driver Drowsiness Detection System, 2018 European Control Conference, ECC, pp. 2691 - 2696, https://doi.org/10.23919/ECC.2018.8550621, Dettaglio
Moretti Stefano, Maccarana Yamuna, Previdi Fabio, Ermidoro Michele; (2017) Load Swing Reduction in Manually Operated Bridge Cranes, IEEE RTSI – 3° International Forum on Research and Technologies for Society and Industry 2017 Conference Proceedings, pp. 1 - 6, https://doi.org/10.1109/RTSI.2017.8065880, Dettaglio
Cologni Alberto Luigi, Ermidoro Michele, Formentin Simone, Previdi Fabio; (2017) Anti-sway fixed-order control of bridge cranes with varying rope length, Proceedings. 2017 IEEE International Conference on Mechatronics (ICM), pp. 56 - 61, https://doi.org/10.1109/ICMECH.2017.7921080, Dettaglio
Previdi Fabio, Mazzoleni Mirko, Cologni Alberto Luigi, Ermidoro Michele; (2016) An application of the remote maintenance paradigm to semi-automated machines, 14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety, pp. 285 - 289, , Dettaglio
Ermidoro Michele, Previdi Fabio; (2016) A condition assessment algorithm based on dynamic time warping for high-voltage circuit breaker, 2016 12th IEEE International Conference on Control and Automation (ICCA), pp. 167 - 172, https://doi.org/10.1109/ICCA.2016.7505270, Dettaglio
Ermidoro Michele; (2015) Control and estimation problems based on inertial measurements in industrial mechatronic systems, , , https://doi.org/10.13122/ermidoro-michele_phd2015-04-21, Dettaglio
Angeloni Fabio, Ermidoro Michele, Previdi Fabio, Savaresi Sergio M.; (2015) A friction estimation approach to fault detection in electromechanical systems, 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2015 Paris, 2–4 September 2015, pp. 720 - 725, https://doi.org/10.1016/j.ifacol.2015.09.612, Dettaglio
Formentin Simone, Ermidoro Michele, Previdi Fabio, Savaresi SERGIO MATTEO; (2014) On time-optimal anti-sway controller design for bridge cranes, American Control Conference (ACC), 2014. Proceedings, pp. 2809 - 2814, , Dettaglio
Comotti Daniele, Ermidoro Michele, Galizzi Michael, Vitali ANDREA LORENZO; (2013) Development of a wireless low-power multi-sensor network for motion tracking applications, 2013 IEEE International Conference on Body Sensor Networks (BSN), Cambridge (MA), 6-9 May 2013, pp. 1 - 6, https://doi.org/10.1109/BSN.2013.6575466, Dettaglio

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Anno accademico: 2022/2023

Anno accademico: 2021/2022

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Michele ERMIDORO

Anno accademico: 2022/2023

Anno accademico: 2021/2022

Orario ricevimento