Identification of Objects by the Maximal Information Criterion

  • Authors:

  • I. S. Durgaryan;F. F. Pashchenko

  • Affiliations:

  • Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia;Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

The design of predictive input-output models for linear and nonlinear systems with random signals is studied. Definitions are formulated and conditions for identifiability by information criteria are derived. A consistent method of identification of systems by the maximal information criterion is designed. The values of parameters of an object are used for identifying and designing unbiased models.