Info_PRIN

UniFI - The RU UniFI is led by Prof. David Angeli (DA), and will include one Post Doc Research Assistant specifically appointed for this project, for a total of 18 months. Prof David Angeli will supervise the Post Doctoral student and collaborate with him to define the most promising research directions and application scenarios. DA is actively involved in research related to smart-grids in cooperation with Prof. Goran Strbac of the Control and Power Group at Imperial College London. These collaborations will be further developed on themes related to dynamic demand and smart energy management systems, including the integration of Electric Vehicles in the grid and the use of Model Predictive Control techniques to enhance end-users and global economic profitability. This RU will coordinate the activities of WP2, and will concentrate on the methodological activities of WP3 (in collaboration with RU UniNA) and WP1 (in collaboration with RU UniCAL). This RU will also work on two application cases of WP4, in collaboration with the other units. It will participate in the dissemination activities of WP5.

UniCAL - The RU UniCal is led by Prof. Alessandro Casavola (AC) and includes himself and one Post-Doc Research Assistant specifically appointed for this project for two years. UniCAL is currently involved in research related to the use of distributed CG and EMPC approaches for micro-grids with Prof. Malabika Basu of the School of Electrical and Electronic Engineering at the Dublin Institute of Technology. Moreover, it is actively collaborating with Prof. Nikola Miškovic of the Laboratory for Underwater Systems and Technologies (LABUST) of the University of Zagreb, to formations coordination of marine surface autonomous vehicles. This RU will coordinate the methodological activities of WP1 (in collaboration with UniNA for Task 1.1 and UniFI for Task 1.2 ) and participate to WP2 and WP3. This RU will also work on the two case studies of WP4, in collaboration with the other RUs units, coordinating Task 4.2. It will participate in the dissemination activities of WP5.

UniNA - The RU UniNA is led by Prof. Manfredi Sabato (MS) and will include one Post Doc Research Assistant specifically appointed for this project, for a total of 18 months. MS will supervise the Post Doctoral student and collaborate with him to design novel distributed and resilient algorithms for Cyber-Physical System optimization. MS is actively involved in applied research related to the implementation of distributed control algorithms in collaboration with small and medium enterprises. This RU will coordinate the methodological activities of WP3 (taken in collaboration with the other units) and will concentrate on the use of distributed resilient and robust optimization algorithms in CG schemes designed by WP1 (led by RU UniCAL) and in distributed EMPC approaches developed by WP2 (led by RU UniFI). This RU will also work on two application cases of WP4, in collaboration with the other units, and will participate in dissemination activities of WP5.

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[2] D. Angeli, R. Amrit and J. Rawlings, “On average performance and stability of economic model predictive control”, IEEE Trans. on Aut. Contr., 57: 1615-1626, 2012.

[3] R. Amrit, J. Rawlings and D. Angeli, “Economic optimization using model predictive control with a terminal cost”, Annual Reviews in Control, 35(2), 178-186, 2011.

[4] M.A. Müller, D.Angeli and F Allgöwer, “On necessity and robustness of dissipativity in economic model predictive control”, IEEE Trans. on Aut. Contr., 60(6), 1671-1676, 2015.

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[9] F. Tedesco, A. Casavola and R. Russo, “Plug-and-Play Distributed Supervision Schemes for Decoupled Interconnected Dynamical Systems”, IEEE 58th CdC, Nice, France, Dec. 2019.

[10] G. Notarstefano, I. Notarnicola, A. Camisa, “Distributed Optimization for Smart Cyber-Physical Networks”, Foundations and Trends in Systems and Control Series, 2019.

[11] S. Manfredi S., D. Angeli, “Asymptotic Consensus on the Average of a Field for Time-Varying Nonlinear Networks under Almost Periodic Connectivity”, IEEE Trans. on Aut. Contr., 63: 2389-2404, 2018.

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[16] D. Angeli, S. Manfredi, “A Resilient Consensus Protocol for Networks with Heterogeneous Confidence and Byzantine Adversaries”, IEEE Contr. Syst. Lett., 6:494-499, 2022.

[17] D. Angeli, S. Manfredi, “On adversary robust consensus protocols through joint-agent interactions”, IEEE Trans. on Aut. Contr. 66:1646-1657, 2021.

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[20] Lavanya Sharma (Ed), Towards Smart World: Homes to Cities Using Internet of Things, CRC Press, 2021.

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