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Sandro Zampieri

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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

 

   BIOGRAPHY

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.
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 100 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 as the chair of the IFAC technical committee "Networked systems" on 2005-2008. Since 2012 he is serving as an Associate Editor of IEEE Transactions of Automatic Control.
His research interests include automatic control and dynamical systems theory, and in particular distributed control and estimation and networked control and control under communication constraints.

 

   TEACHING

 

Segnali e Sistemi (2013/2014) per il corso di laurea in Ingegneria dell'Informazione (Ult. numero di matricola da 5 a 9)

 

Fondamenti di controlli automatici (2015/2016) per il corso di laurea in Ingegneria Informatica

 

Controlli automatici (2010/2011) per il corso di laurea in Ingegneria dell'Informazione

 

Tecniche avanzate di Controllo (2011/2012) per il corso di laurea in Ingegneria dell'Automazione

 

Controllo dei processi (2009/2010) per il corso di laurea in Ingegneria dell'Automazione

 

Fondamenti di Automatica (2011/2012) per i corsi di laurea in Ingegneria Elettronica e Biomedica

 

   PROJECTS

 

Hycon 2 - Highly-complex and networked control systems (EU FP7 NoE)

 

   RESEARCH AREAS

 

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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.


   
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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.

   

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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.

 

   POST DOC AND PHD STUDENTS

 

 

Present PhD students

 

Guido Cavraro

 

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]

 

   SELECTED PUBLICATIONS

 

Recent journal papers     [ all BibTeX ]
20XX
N. Bof, G. Baggio, S. Zampieri. On the Role of Network Centrality in the Controllability of Complex Networks. IEEE Transactions on Control of Network Systems [submitted], 20XX    [ abstract ] [pdf] [BibTeX]  
2016
S. Bolognani, R. Carli, E. Lovisari, S. Zampieri. A randomized linear algorithm for clock synchronization in multi-agent systems. IEEE Transactions on Automatic Control, (61), 2016   [BibTeX]  
S. Bolognani, S. Zampieri. On the existence and linear approximation of the power flow solution in power distribution networks. IEEE Transactions on Power Systems, vol. 31(1), pp. 163--172, 2016   [BibTeX]  
2015
S. Bolognani, R. Carli, G. Cavraro, S. Zampieri. Distributed reactive power feedback control for voltage regulation and loss minimization. Automatic Control, IEEE Transactions on, vol. 60(4), pp. 966--981, 2015   [BibTeX]  
2014
F. Pasqualetti, S. Zampieri, F. Bullo. Controllability Metrics, Limitations and Algorithms for Complex Networks. IEEE Transactions on Control of Network Systems, vol. 1(1), pp. 40--52, 2014   [pdf] [BibTeX]  
R. Carli, S. Zampieri. Network clock synchronization based on the second order linear consensus algorithm. IEEE Trans. on Automatic Control, vol. 59,pp. 409--422, 2014   [pdf] [BibTeX]  
2013
S. Bolognani, S. Zampieri. A distributed control strategy for reactive power compensation in smart microgrids. IEEE Trans. on Automatic Control, vol. 58(11), 2013    [ abstract ] [url] [BibTeX]  
S. Bolognani, G. Cavraro, R. Carli, S. Zampieri. A distributed feedback control strategy for optimal reactive power flow with voltage constraints. Arxiv preprint, 2013    [url] [BibTeX]  
E. Lovisari, F. Garin, S. Zampieri. Resistance-Based Performance Analysis of the Consensus Algoritm over Geometric Graphs. SIAM Journal on Control and Optimization, vol. 51(5), pp. 3918-3945, 2013   [pdf] [BibTeX]  
Recent conference papers     [ all BibTeX ]
2016
G. Cavraro, S. Bolognani, R. Carli, S. Zampieri. The value of communication in the voltage regulation problem. 2016   [pdf] [BibTeX]  
2015
G. Bianchin, F. Pasqualetti, S. Zampieri. The Role of Diameter in the Controllability of Complex Networks. IEEE Conf. on Decision and Control, 2015   [BibTeX]  
2014
G. Cavraro, R. Carli, S. Zampieri. A distributed control algorithm for the minimization of the power generation cost in smart micro-grid. Conference on Decision and Control (CDC14), 2014   [pdf] [BibTeX]  
G. Cavraro, R. Carli, S. Zampieri. A Multi-Agents Control Approach for the Optimal Power Flow Problem. The 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014), 2014   [pdf] [BibTeX]  
F. Pasqualetti, S. Zampieri, F. Bullo. Controllability Metrics and Algorithms for Complex Networks. IEEE American Control Conference, 2014   [BibTeX]  
G. Como, F. Fagnani, S. Zampieri. Distributed Learning in Potential Games Over Large-Scale Networks. The 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014), 2014   [BibTeX]  
B. Gentile, J.W. Simpson-Porco, F. Dörfler, S. Zampieri, F. Bullo. On Reactive Power Flow and Voltage Stability in Microgrids. IEEE American Control Conference, 2014   [BibTeX]  
2013
S. Bolognani, R. Carli, G. Cavraro, S. Zampieri. A distributed control strategy for optimal reactive power flow with power and voltage constraints. IEEE SmartGridComm 2013 Symposium, 2013   [pdf] [BibTeX]  
S. Bolognani, R. Carli, G. Cavraro, S. Zampieri. A distributed control strategy for optimal reactive power flow with power constraints. Conference on Decision and Control (CDC13), 2013   [pdf] [BibTeX]  
S. Bolognani, G. Cavraro, S. Zampieri. A distributed feedback control approach to the optimal reactive power flow problem. Control of Cyber-Physical Systems, vol. 449pp. 259-277, 2013   [BibTeX]