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SUMMARY:Optimal model-based design for experiments: some new objective and
  constraint formulations - Macchietto\, S (Imperial College London)
DTSTART:20110718T103000Z
DTEND:20110718T113000Z
UID:TALK32071@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:The presentation will briefly review some of the reasons for t
 he recent renewed interest in the Design of Experiments (DoE) and some key
  developments which\, in the author's view and experience\, underpin and e
 nable this success. One is identified in the ability of combining classica
 l DoE methods with substantially more sophysticated mathematical descripti
 ons of the physics in the experiment being designed\, thus putting the "mo
 del-based" firmly in front of DoE. Another\, the main subject of the talk\
 , is a better understanding of the relationship between desired performanc
 e and evaluation metric(s)\, leading to the disaggregation of a single "be
 st" design objective into constituent components\, and to much richer form
 ulations of the design problem that can be tailored to specific situations
 . A final reason is the substantial improvement in the numerical and compu
 ting tools supporting the model-based design of experiments\, but also and
  chiefly in the availaility of integrated modelling/solution environments 
 which make the whole technology accessible to a much wider engineering com
 munity. The presentation will illustrate\, with reference to examples\, so
 me of the new problem formulations that can be used to represents more sop
 hysticated design requirements (including parameter precision\, anti-corre
 lation\, robustness to uncertainty) and\, briefly\, some of the newer solu
 tion approaches (including design of parallel experiments\, on-line re-des
 ign). It will also illustrate some successful applications in a variety of
  demanding industrial areas\, ranging from fuel cells\, to complex reactor
  design\, to biomedical applications.\n
LOCATION:Seminar Room 1\, Newton Institute
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