Information

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ti.ab1674471133ilop@1674471133azzob1674471133.otsu1674471133gua1674471133
Scopus Researcher Page
Curriculum Vitae (english)
Publications

Augusto BOZZA

PhD student

Augusto Bozza received the Bachelor Degree in Computer Science and Automation Engineering in October 2018 and the Master Degree with honours in Automation Engineering (with specialization in Robotics) in April 2021, both from the Polytechnic of Bari. He has been a graduate Research Assistant from June to October 2021 at the Decision and Control Laboratory of Department of Electrical and Information Engineering of Polytechnic of Bari.

He is currently working toward the Ph.D. degree in Electrical and Information Engineering of the same university under the supervision of Prof. Engr. Mariagrazia Dotoli. His research interests include modelling, control, and simulation of manufacturing and industrial systems based on the Digital Twin (DT) framework.


Publications

2022

  • Cavone, G., Bozza, A., Carli, R. & Dotoli, M. (2022) MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive. IN IEEE Transactions on Automation Science and Engineering, 19.1586-1598. doi:10.1109/TASE.2022.3177362
    [BibTeX] [Download PDF]
    @ARTICLE{Cavone20221586,
    author={Cavone, G. and Bozza, A. and Carli, R. and Dotoli, M.},
    title={MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2022},
    volume={19},
    number={3},
    pages={1586-1598},
    doi={10.1109/TASE.2022.3177362},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131727980&doi=10.1109%2fTASE.2022.3177362&partnerID=40&md5=689e5dd375cab07673634f266a278717},
    document_type={Article},
    source={Scopus},
    }
  • Bozza, A., Askari, B., Cavone, G., Carli, R. & Dotoli, M. (2022) An Adaptive Model Predictive Control Approach for Position Tracking and Force Control of a Hydraulic Actuator IN IEEE International Conference on Automation Science and Engineering., 1029-1034. doi:10.1109/CASE49997.2022.9926645
    [BibTeX] [Download PDF]
    @CONFERENCE{Bozza20221029,
    author={Bozza, A. and Askari, B. and Cavone, G. and Carli, R. and Dotoli, M.},
    title={An Adaptive Model Predictive Control Approach for Position Tracking and Force Control of a Hydraulic Actuator},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2022},
    volume={2022-August},
    pages={1029-1034},
    doi={10.1109/CASE49997.2022.9926645},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141675790&doi=10.1109%2fCASE49997.2022.9926645&partnerID=40&md5=8ea9bb1c05f9c04a733472aeef5755d1},
    document_type={Conference Paper},
    source={Scopus},
    }

2021

  • Bozza, A., Cavone, G., Carli, R., Mazzoccoli, L. & Dotoli, M. (2021) An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process IN IEEE International Conference on Automation Science and Engineering., 286-291. doi:10.1109/CASE49439.2021.9551602
    [BibTeX] [Download PDF]
    @CONFERENCE{Bozza2021286,
    author={Bozza, A. and Cavone, G. and Carli, R. and Mazzoccoli, L. and Dotoli, M.},
    title={An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={286-291},
    doi={10.1109/CASE49439.2021.9551602},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117041530&doi=10.1109%2fCASE49439.2021.9551602&partnerID=40&md5=8f6b0f6133565ad0c087ea675cf9c3b9},
    document_type={Conference Paper},
    source={Scopus},
    }