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

    9 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
    Event7th International Symposium on Process Systems Engineering - Keystone, CO, USA
    Duration: 2000 Jul 162000 Jul 21

    Keywords

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

    ASJC Scopus subject areas

    • General Chemical Engineering
    • Computer Science Applications

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