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Determination of model order for dynamical system

Authors
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Source
Legacy
Keywords
  • Cybernetics
  • Artificial Intelligence And Robotics
Disciplines
  • Computer Science

Abstract

The problem of model order determination, which is an integral part of system identification for dynamical systems of auto-regressive and least square structures is investigated. Twelve model order testing criteria available in the literature are critically evaluated from simulated data and from two different physical processes: (1) human operator responses in compensatory tracking manual control; and (2) wind tunnel mounted model responses to tunnel flow instabilities. The study revealed that of all the criteria tested, only a subset is adequate to establish reliable model order. Based on this observation, a computationally effective working rule is proposed for model order determination for practical dynamical systems.

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