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SUMMARY:Optimal input signals for parameter estimation in distributed-para
 meter systems - Rafajlowicz\, E (Wroclaw University of Technology)
DTSTART:20110720T130000Z
DTEND:20110720T140000Z
UID:TALK32106@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In the first part of the lecture we recall classical results o
 n selecting optimal input signals for parameter estimation in systems with
  temporal (or spatial) dynamics only and their generalizations to unbounde
 d signals. As a motivation for studying input signals\, which can influenc
 e our system both in space and in time\, we provide several examples of ne
 w techniques emerged in high energy lasers and in micro- and nano-technolo
 gies. We also mention an increasing role of cameras as sensors. Then\, we 
 discuss extensions of optimality conditions for input signals\, trying to 
 reveal an interplay between their spatial and temporal behavior. We concen
 trate on open loop input signals for linear systems\, described by partial
  differential equations (PDE) or their Green's functions. Finally\, we ske
 tch the following open problems:  (i) simultaneous optimization of sensor 
 positions and input signals\, (ii) experiment design for estimating spatia
 lly varying coefficients of PDEs.\n
LOCATION:Seminar Room 1\, Newton Institute
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