Sandro Zampieri

Professor   Department of Information Engineering University of Padova Via Gradenigo 6/B 35131 Padova Italy   Tel.: +39 049.827.7648 Fax:  +39 049.827.7699   E-mail:      name.surnameATdei.unipd.it

Sandro Zampieri received the Laurea degree in Electrical Engineering and the Ph.D. degree in System Engineering from the University of Padova, Italy, in 1988 and 1993, respectively. Since 2002 he is Full Professor in Automatic Control at the Department of Information Engineering of the University of Padova. He has been the head of the Department of Information Engineering from 2014 until 2018.
In 1991-92, 1993 and 1996 he was Visiting Scholar at Laboratory for Information and Decision Systems, MIT, Cambridge. He has held visiting positions also at the Department of Mathematics of the University of Groningen and at the Department of Mechanical Engineering of the University of California at Santa Barbara.

Prof. Zampieri has published more than 150 journal and conference papers. He has delivered several invited seminars and he was member of the Technical Program Committee for several international conferences. He was general chair of the 1st IFAC Workshop on Estimation and Control of Networked Systems 2009, program chair of the 3rd IFAC Workshop on Estimation and Control of Networked Systems 2012 and publication chair of the IFAC World Congress 2011. He served as an Associate Editor of the Siam Journal on Control and Optimization on 2002-2004 and of the IEEE Transactions of Automatic Control on 2012-2014. He was the chair of the IFAC technical committee "Networked systems" on 2005-2008. He was one of the recipients of the 2016 IEEE Transactions on Control of Network Systems Best Paper Award. His research interests include networked control, control of complex systems and distributed control and estimation with applications to the smart grids.

Controlli Automatici (2020/2021) per il corso di laurea in Ingegneria Gestionale

Fondamenti di controlli automatici (2022/2023) per il corso di laurea in Ingegneria Informatica

Network systems and dynamics (2020/21) For the laurea degree of Control Systems Engineering

Digital Control (2022/23) For the laurea degree of Control Systems Engineering

	Control and estimation under communication constraints The emerging area of control with limited data rates incorporates ideas from both control and information theory. The data rate constraint introduces quantization into the feedback loop and gives the interconnected system a twofold nature, continuous and symbolic. In this paper, we review the results available in the literature on data-rate-limited control. For linear systems, we show how fundamental tradeoffs between the data rate and control goals, such as stability, mean entry times, and asymptotic state norms, emerge naturally. While many classical tools from both control and information theory can still be used in this context, it turns out that the deepest results necessitate a novel, integrated view of both disciplines.
	Consensus algorithm for distributed estimation and control   Average consensus problems have been widely studied in recent years both in the context of coordination of mobile autonomous vehicles and in the context of distributed estimation. In fact, average consensus can be considered a simple paradigm for designing estimation algorithms implemented on sensor networks and working in a distributed way. More precisely, assume in this setup that all sensors independently measure the same quantity with some error due to noise. A simple way to improve the estimate is to average all the measures. To do this, the sensors need to exchange their information. Energy limitations force transmission to take place directly along nearby sensors and also impose bounds on the amount of data an agent can process.
	Distributed feedback control strategies for optimal reactive power flow in smart microgrids   Recent technological advances, together with environmental and economic challenges, have been motivating the deployment of small power generators in the low voltage and medium voltage power distribution grid. The availability of a large number of these generators in the distribution grid can yield relevant benefits to the network operation, which go beyond the availability of clean, inexpensive electrical power.They can be used to provide a number of ancillary services that are of great interest for the management of the grid. We focus in particular on the problem of optimal reactive power compensation for power losses minimization and voltage support. In order to properly command the operation of these devices, the distribution network operator is required to solve an optimal reactive power flow (ORPF) problem.

Past Post-Docs

Federica Garin

Saverio Bolognani

Past PhD students

Paolo Vettori Delay differential systems in the behavioral approach [pdf]

Ruggero Carli Topics on the average consensus problem [pdf]

Paolo Frasca Distributed optimization with communication constraints [pdf] (coadvisor with Fabio Fagnani) 

Simone Del Favero Analysis and development of consensus based estimation schemes [pdf] 

Saverio Bolognani Methods and applications in networked control Feedback control design for quantum systems [pdf]

Enrico Lovisari Synchronization algorithms for multi-agent systems: Analysis, Synthesis and Applications [pdf]

Guido Cavraro Modeling, Control and Identification of a Smart Grid