Dipartimento di Ingegneria elettrica ed elettronica

SHORT CV (may 2021)

Alessandro Pisano is presently an Associate Professor at the Department of Electrical and Electronic Engineering (DIEE) in the “ING-INF/04 – AUTOMATICA” scientific sector.

His present research interests pertain to the control, estimation, and diagnosis of uncertain processes. More specific topics include the distributed control and optimization over networks. Recent applications include the distributed control of smart grids and the control and estimation of energy production and storage from renewable sources.

A. Pisano is (co)editor/(co)author of 1 book, 75 peer-reviewed international journal publications, 12 chapters in monographic books, and in excess of 110 papers on international conference proceedings.

He is teaching the courses "Automatic Control" (“Controlli Automatici”), "Energy Systems Control" (“Controllo dei Sistemi Energetici”) "Digital Control" (“Controllo Digitale”) and e "Simulation of dynamical systems with Matlab-Simulink" within the mechanical Engineering, Energy Engineering and Electronic Engineering Master Degree curricula.


As Principal Investigator:

2019- 2021  “SISCO - ICT methodologies for the security of complex systems”

2017- 2019  “ODIS - Optimization of DIstributed systems in the Smart-city and smart-grid settings”

As Research Unit member

2018-2021 “Metodi formali per il MOnitoraggio di SIstemi dinamici Multi-Agente (MOSIMA)”. RASSR05871 MOSIMA financed by Region Sardinia, FSC 2014-2020, annuality 2017, Subject area 3, Action Line 3.1.

2019-2021 “E^2 READ – Efficientamento Energetico dei processi di REfrigerazione della catena Alimentare nella grande Distribuzione”. Fonte del finanziamento: POR FESR Sardegna 2014-2020

2019-2021 “SMART AMP – Smart Area Marina Protetta Capo Carbonara”. Fonte del finanziamento: AIUTI PER PROGETTI DI RICERCA E SVILUPPO (seconda call) Programmazione unitaria 2014-2020 POR FESR  CUP: F26C18000520006 (2019-2021).

2018-2020 “SAR-BIM.  SistemA di modellazione degli asset infRastrutturali TLC BIM-based per la gestIone delle infrAstrutture e della loro manutenzione” Fonte del finanziamento: POR FESR Sardegna

2018-2020 “VIRTUALENERGY – Sviluppo di sistemi per l’aggregazione, il coordinamento e l’ottimizzazione di un Virtual Power Plant”. Progetto Cluster top down Sardegna RIcerche



M. Gholami, A. Pilloni, A. Pisano, E. Usai (2021) “Robust Distributed Secondary Voltage Restoration Control of AC Microgrids under Multiple Communication Delays” ENERGIES. 14 (4), 1165-1183.

J.Davila, A.Pisano (2021) “On the Fixed-Time Consensus Problem for Nonlinear Uncertain Multi-Agent Systems Under Switching Topology”. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL. vol. 31, p. 1165-1183.

L Aguilar, Y Orlov, A Pisano (2020) “Leader-follower synchronization and ISS analysis for a network of boundary-controlled wave PDEs” IEEE CONTROL SYSTEMS LETTERS, vol. 5 (2), 683-688.

A. Pilloni, M. Franceschelli, A. Pisano, E. Usai (2020) “Sliding mode based robustification of consensus and distributed optimization control protocols” IEEE TRANSACTIONS ON AUTOMATIC CONTROL, vol. 66 (3), 1207-1214, 2020.

M.N. Kapetina, M.R. Rapaic, A.Pisano, Z,D. Jelicic (2019). "Adaptive Parameter Estimation in LTI Systems". IEEE TRANSACTIONS ON AUTOMATIC CONTROL, vol. 64, p. 4188-4195.

A.Pilloni, M.Franceschelli, A. Pisano, E.Usai (2019). Delta modulation (Delta-M) via second-order sliding-mode control technique. CONTROL ENGINEERING PRACTICE, vol. 92, p. 1-10.

G.Bartolini, A. Pisano, E. Punta, E.Usai (2019). Simplex sliding mode control for autonomous six-DOF vehicles with mono-directional actuators: robustness, stability, and implementation issues. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, vol. 29, p. 529-549, ISSN: 1049-8923, doi: 10.1002/rnc.4111

A. Pilloni, A. Pisano, E. Usai (2018). Robust Finite-Time Frequency and Voltage Restoration of Inverter-Based Microgrids via Sliding-Mode Cooperative Control. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 65, p. 907-917.

A. Pisano, Y. Orlov, E. Usai  (2011). Tracking Control of the Uncertain Heat and Wave Equation via Power-Fractional and Sliding-Mode Techniques. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 49, p. 363-382.

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