Efficient information - Theoretic model input selection

P. B. Deignan, M. A. Franchek, P. H. Meckl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Of fundamental importance to proper system identification and virtual sensing is the determination and assessment of an optimal set of input signals independent of the final model form. If the system is causal and deterministic, it is possible to efficiently compute an information-theoretic optimal input set for a desired uniform accuracy of the target estimate and maximal dimension of the candidate input set. A branch and bound combinatorial optimization algorithm based on an estimate of joint mutual information is presented as part of a total coherent methodology of input selection.

Original languageEnglish
Title of host publicationMidwest Symposium on Circuits and Systems
StatePublished - Dec 1 2002
Event2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States
Duration: Aug 4 2002Aug 7 2002


Other2002 45th Midwest Symposium on Circuits and Systems
Country/TerritoryUnited States
CityTulsa, OK

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials


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