A control-relevant model reduction technique for nonlinear systems

Kwang S. Lee, Yongtae Eom, Jin W. Chung, Jinhoon Choi, Dae Ryook Yang

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

A novel control-relevant model reduction technique for nonlinear systems is proposed utilizing the idea of the balanced truncation. Unlike the widely-accepted Karhunen-Loeve method where the state basis for the reduced system is found from the state snapshots, the proposed technique takes into account the input, state, and output information together and provides a near-balanced reduced-order model that approximates the system map instead of the state snapshots. Performance of the technique is demonstrated for a linear system and a non-adiabatic fixed-bed reactor model. (C) 2000 Elsevier Science Ltd.

Original languageEnglish
Pages (from-to)309-315
Number of pages7
JournalComputers and Chemical Engineering
Volume24
Issue number2-7
DOIs
Publication statusPublished - 2000 Jul 15

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Nonlinear systems
Linear systems

Keywords

  • Balanced realization
  • Balanced truncation
  • Fixed-bed reactor
  • Karhunen-Loeve decomposition
  • Model reduction
  • Nonlinear system
  • Subspace identification

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Control and Systems Engineering

Cite this

A control-relevant model reduction technique for nonlinear systems. / Lee, Kwang S.; Eom, Yongtae; Chung, Jin W.; Choi, Jinhoon; Yang, Dae Ryook.

In: Computers and Chemical Engineering, Vol. 24, No. 2-7, 15.07.2000, p. 309-315.

Research output: Contribution to journalArticle

Lee, Kwang S. ; Eom, Yongtae ; Chung, Jin W. ; Choi, Jinhoon ; Yang, Dae Ryook. / A control-relevant model reduction technique for nonlinear systems. In: Computers and Chemical Engineering. 2000 ; Vol. 24, No. 2-7. pp. 309-315.
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