Balanced truncation of perturbative representations of nonlinear systems

Marissa Condon, Georgi Grahovski, Rossen Ivanov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper presents a novel approach for a balanced truncation style of model reduction of a perturbative representation of a nonlinear system. Empirical controllability and observability gramians for nonlinear systems are employed to define a projection matrix. However, the projection matrix is applied to the perturbative representation of the system rather than directly to the exact nonlinear system. This is to achieve the required increase in efficiency desired of a reduced-order model. Application of the new method is illustrated through a sample test-system. The technique will be compared to the standard approach for reducing a perturbative representation of a nonlinear system.

Original languageEnglish
Title of host publication21st European Conference on Modelling and Simulation
Subtitle of host publicationSimulations in United Europe, ECMS 2007
PublisherEuropean Council for Modelling and Simulation
Pages431-434
Number of pages4
ISBN (Print)0955301823, 9780955301827
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event21st European Conference on Modelling and Simulation, ECMS 2007 - Prague, Czech Republic
Duration: 4 Jun 20076 Jun 2007

Publication series

Name21st European Conference on Modelling and Simulation: Simulations in United Europe, ECMS 2007

Conference

Conference21st European Conference on Modelling and Simulation, ECMS 2007
Country/TerritoryCzech Republic
CityPrague
Period4/06/076/06/07

Keywords

  • Balanced truncation
  • Controllability and observability gramians
  • Model reduction

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