Stable optimal model reduction of linear discrete-time systems

N. N. Puri, Myo Taeg Lim

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

A new algorithm is presented for finding reduced-order models of the linear time-invariant systems. Proposed recursive algorithm minimizes a weighted mean squared impulse (or step) response error between the original system and the reduced order model. This proposed optimization algorithm require solving very easy linear equations rather than the usual complicated non-linear equations. The procedure guarantees a reduced order stable model at each recursive stage. Method is easily extended to multi-input/multi-output systems. Algorithm's performance is compared with other methods reported in the literature.

Original languageEnglish
Pages (from-to)300-304
Number of pages5
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume119
Issue number2
Publication statusPublished - 1997 Jun 1
Externally publishedYes

Fingerprint

Step response
linear equations
Impulse response
Linear equations
Nonlinear equations
nonlinear equations
impulses
optimization
output

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

Stable optimal model reduction of linear discrete-time systems. / Puri, N. N.; Lim, Myo Taeg.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 119, No. 2, 01.06.1997, p. 300-304.

Research output: Contribution to journalArticle

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