A control-relevant model reduction technique for nonlinear systems

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

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


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
Issue number2-7
Publication statusPublished - 2000 Jul 15
Event7th International Symposium on Process Systems Engineering - Keystone, CO, USA
Duration: 2000 Jul 162000 Jul 21


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

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications


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