Sparse approximation based Gaussian mixture model approach for uncertainty propagation for nonlinear systems

Kumar Vishwajeet, Puneet Singla

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

5 Scopus citations

Abstract

A new method is proposed to determine the number of components that are sufficient to estimate the probability density function of a non-linear dynamic system using Gaussian sum filter. This method is based upon the combination of L1 and L2 norm. While L1 norm tries to shift the solution towards one of the vertices of the simplex, thus, minimizing the number of non-zero quantities, the L2 norm tries to reduce the error to as low as possible. Unlike previous methods, the method proposed in this paper is simple and computationally less expensive.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1213-1218
Number of pages6
ISBN (Print)9781479901777
DOIs
StatePublished - 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period6/17/136/19/13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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