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SUMMARY:Scalable Control Design for Complex Systems
DTSTART:20150624T140000
DTEND:20150624T150000
DTSTAMP:20260407T064249Z
UID:cabe127c246593d4609cdafeac8a190631a1a6aeb3a7aaabe9b0523f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Giancarlo Ferrari-Trecate\, Università degli Studi di 
 Pavia\, Italy\nThe complexity of systems in modern engineering is steadily
  increasing and this has triggered a growing interest in the control of la
 rge interconnections of subsystems. In the past\, several contributions ad
 dressed the problem of parallelizing on-line computation of control action
 s using local regulators arranged in decentralized or distributed architec
 tures.\nIn this talk\, instead\, we will address scalability at the contro
 l design level and discuss constraints of the information flow that make t
 he complexity of synthesizing a local controller independent of the total 
 number of subsystems. Scalability of design is central in cyber-physical s
 ystems\, where subsystems enter and leave over time\, as well as for the r
 eplacement of sensors and actuators with minimal human intervention. Along
  this direction\, we will present approaches to the plug-and-play design o
 f local controllers enabling seamless addition and removal of subsystems. 
 The first part of the talk will focus on systems with physical bounds on i
 nputs and states.\nThen we will discuss plug-and-play design for unconstra
 ined systems based on the concept of neutral interactions\, along with its
  application to voltage and frequency control in islanded microgrids. Simu
 lation and experimental results confirm the effectiveness of plug-and-play
  controllers in handling the addition and removal of generation units whil
 e preserving overall voltage stability. The final part of the talk will be
  devoted to research perspectives for enhancing security and autonomy of l
 arge-scale control systems.\nBio: Giancarlo Ferrari-Trecate received the M
 .Sc. degree in Computer Engineering and the Ph.D. degree in Electronic and
  Computer Engineering from the of the Università degli Studi di Pavia\, I
 taly\, in 1995 and 1999. Since November 2005\, he is an Associate Professo
 r at the Dipartimento di Ingegneria Industriale e dell'Informazione of the
  Università degli Studi di Pavia. In spring 1998\, he was a Visiting Rese
 archer at the Neural Computing Research Group\, University of Birmingham\,
  U.K. In fall 1998\, he joined the Automatic Control Laboratory\, ETH\, Zu
 rich\, Switzerland\, as a Postdoctoral Fellow. He was appointed Oberassist
 ent at ETH\, in 2000. In 2002\, he joined INRIA\, Rocquencourt\, France\, 
 as a Research Fellow. From March to October 2005\, he worked at the Polite
 cnico di Milano\, Italy.\nHis research interests include distributed and s
 calable control\, control of microgrids\, modeling and analysis of biochem
 ical networks\, hybrid systems and Bayesian learning.\nGiancarlo Ferrari-T
 recate received the "assegno di ricerca" Grant from the University of Pavi
 a in 1999 and the Researcher Mobility Grant from the Italian Ministry of E
 ducation\, University and Research in 2005. He is currently a member of th
 e IFAC Technical Committee on Control Design\, the Technical Committee on 
 Systems Biology of the IEEE SMC society and the editorial board of Automat
 ica.
LOCATION:CM 1 4 https://plan.epfl.ch/?room==CM%201%204
STATUS:CONFIRMED
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