Identification of linear systems by poisson moment functionals in the presence of noise

Lawrence Bergman, A. L. Hale, J. C. Goodding

Research output: Contribution to journalArticle

Abstract

THE parameters of several increasingly complex linear systems are identified in the presence of additive noise, using the method of Poisson Moment Functionals (PMF). Two formulations are examined. The first identifies the first order state equations of the structure from measurements of generalized displacements, velocities, and forces. The second identifies the second order equations of motion from measurements of the generalized displacements and forces. The initial conditions of the system are arbitrary and are identified. Comparisons are made with a second-order auto regressive moving average (ARMA) method.

Original languageEnglish (US)
Pages (from-to)1234-1235
Number of pages2
JournalAIAA journal
Volume23
Issue number8
DOIs
StatePublished - Aug 1985

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Linear systems
Identification (control systems)
Additive noise
Equations of state
Equations of motion

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Identification of linear systems by poisson moment functionals in the presence of noise. / Bergman, Lawrence; Hale, A. L.; Goodding, J. C.

In: AIAA journal, Vol. 23, No. 8, 08.1985, p. 1234-1235.

Research output: Contribution to journalArticle

Bergman, Lawrence ; Hale, A. L. ; Goodding, J. C. / Identification of linear systems by poisson moment functionals in the presence of noise. In: AIAA journal. 1985 ; Vol. 23, No. 8. pp. 1234-1235.
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