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SUMMARY:Sensor network scheduling for identification of spatially distribu
 ted processes - Ucinski\, D (University of Zielona Gra)
DTSTART:20110721T080000Z
DTEND:20110721T084500Z
UID:TALK32115@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Since for distributed parameter systems it is impossible to ob
 serve their states over the entire spatial domain\, the question arises of
  where to locate discrete sensors so as to estimate the unknown system par
 ameters as accurately as possible. Both researchers and practitioners do n
 ot doubt that making use of sensors placed in an `intelligent' manner may 
 lead to dramatic gains in the achievable accuracy of the parameter estimat
 es\, so efficient sensor location strategies are highly desirable. In turn
 \, the complexity of the sensor location problem implies that there are ve
 ry few sensor placement methods which are readily applicable to practical 
 situations. What is more\, they are not well known among researchers. The 
 aim of the talk is to give account of both classical and recent original w
 ork on optimal sensor placement strategies for parameter identification in
  dynamic distributed systems modelled by partial differential equations. T
 he reported work constitutes an attempt to meet the needs created by pract
 ical applications\, especially regarding environmental processes\, through
  the development of new techniques and algorithms or adopting methods whic
 h have been successful in akin fields of optimal control and optimum exper
 imental design. While planning\, real-valued functions of the Fisher infor
 mation matrix of parameters are primarily employed as the performance indi
 ces to be minimized with respect to the positions of pointwise sensors. Ex
 tensive numerical results are included to show the efficiency of the propo
 sed algorithms. A couple of case studies regarding the design of air quali
 ty monitoring networks and network design for groundwater pollution proble
 ms are adopted as an illustration aiming at showing the strength of the pr
 oposed approach in studying practical problems.\n
LOCATION:Seminar Room 1\, Newton Institute
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