Balancing for Nonlinear Differential-Algebraic Control Systems

Arijit Sarkar, Yu Kawano, Jacquelien M.A. Scherpen

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

4 Downloads (Pure)

Abstract

In this paper, we develop a balancing theory for nonlinear differential-algebraic control systems. We exploit the maximally controlled invariant submanifold to define the controllability and observability functions and to provide a balanced realization. We also construct a reduced-order model based on truncation of states which also preserves the constraints associated with the original system. Finally, we illustrate the results with an example.

Original languageEnglish
Title of host publicationProdeedings of the American Control Conference 2024 (ACC2024)
PublisherIEEE
Pages3231-3236
Number of pages6
ISBN (Electronic)9798350382655
DOIs
Publication statusPublished - 2024
EventAmerican Control Conference 2024 (ACC2024) - Toronto, Canada
Duration: 8-Jul-202412-Jul-2024

Publication series

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

Conference

ConferenceAmerican Control Conference 2024 (ACC2024)
Country/TerritoryCanada
CityToronto
Period08/07/202412/07/2024

Keywords

  • Model/Controller reduction, Differential-algebraic systems

Fingerprint

Dive into the research topics of 'Balancing for Nonlinear Differential-Algebraic Control Systems'. Together they form a unique fingerprint.

Cite this