Using mutual information to pre-process input data for a virtual sensor

Paul B. Deignan, Peter H. Meckl, Matthew Franchek, John Abraham, Salim Jaliwala

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

5 Scopus citations

Abstract

Mutual information can be used to determine appropriate input signals and input transformations for a black-box model that represents a virtual sensor. Mutual information is a measure of the strength of the input-output relationship, and can be computed without any assumptions about the linearity of the input-output process. The power of the method is demonstrated with an incompressible flow process. Results using mutual information clearly show that all three input signals are necessary to capture the input-output mapping. In addition, nonlinear transformations, such as raising each input to a power, can be evaluated by checking the corresponding mutual information. Results show that raising two of the inputs to the exponent 1/2 gives the highest mutual information, which is consistent with the governing equation.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2927-2931
Number of pages5
Volume4
StatePublished - 2000
Event2000 American Control Conference - Chicago, IL, USA
Duration: Jun 28 2000Jun 30 2000

Other

Other2000 American Control Conference
CityChicago, IL, USA
Period6/28/006/30/00

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Using mutual information to pre-process input data for a virtual sensor'. Together they form a unique fingerprint.

Cite this