BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Active Input Design for Fault Diagnosis: a Set-Based Approach
DTSTART:20131004T101500
DTSTAMP:20260408T052310Z
UID:3fd6961acac2cc7d3f263a61cd5a194319dd87df45a28f7996dab8e9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Davide M. Raimondo\nBio: Davide M. Raimondo was born in Pavia\
 , Italy\, in 1981. He received the B.Sc. and M.Sc. in Computer Engineering
 \, and the Ph.D. in Electronic\, Computer Science and Electric Engineering
  from the University of Pavia\, Italy\, in 2003\, 2005\, and 2009\, respec
 tively. As a Ph.D. student he held a visiting position at the Department o
 f Automation and Systems Engineering\, University of Seville\, Spain. From
  January 2009 to December 2010 he was a postdoctoral fellow in the Automat
 ic Control Laboratory\, ETH Zürich\, Switzerland. From March 2012 to June
  2012 and from August 2013 to September 2013 he was visiting scholar in Pr
 of. Braatz Group\, Department of Chemical Engineering\, MIT\, USA. Since D
 ecember 2010 he is Assistant Professor at University of Pavia\, Italy.  H
 is current research interests include optimization-based control\, fault-t
 olerant control\, distributed control\, autonomous surveillance and contro
 l of glycaemia in diabetic patients.\nHigh-performance systems such as che
 mical plants and aerospace systems are becoming increasingly complex. Toge
 ther with increasingly stringent performance requirements\, this has made 
 manual\, human-supported detection of component malfunctions challenging\,
  even for highly experienced operators. Although there are many fault diag
 nosis algorithms available\, there has been very little work on the design
  of control inputs with the aim of increasing the detectability and isolab
 ility of faults. The use of such inputs has clear potential for overcoming
  a central difficulty in fault detection\, which is to distinguish the eff
 ects of faults from those of disturbances\, process uncertainties\, etc. T
 his presentation discusses new methods for computing active inputs that gu
 arantee that the input-output data of a process will be sufficient to corr
 ectly identify a fault from a given library of possible faults. This probl
 em is inherently nonconvex and has a combinatorial dependence on the numbe
 r of faults considered. To address this\, a new formulation is considered\
 , along with related approximations\, that is amenable to efficient soluti
 on using standard optimization packages (e.g. CPLEX). The theoretical cont
 ributions combine ideas from reachability analysis\, set-based computation
 s\, and optimization theory to exploit detailed problem structure and ther
 eby manage the problem complexity. Comparisons with an existing method sho
 w that the proposed formulation provides a dramatic reduction in the requi
 red computational effort.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
 ecenter_x=730960.62257&layerNodes=fonds\,batiments\,labels\,information\,p
 arkings_publics\,arrets_metro&floor=2&q=me_c2%20405
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR