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Efficient Parameterization for Grey-box Model Identification of Complex Physical Systems

Authors
Publisher
International Federation of Automatic Control
Publication Date
Keywords
  • Grey Box Model Identification Preserves Known Physical Structures In A Model But With Limits To The
  • All Parameters Are Rarely Identifiable
  • And Different Parametrizations Give Significantly Different Model Quality
  • Convenient Methods To Show Which Parameterizations Are The Better Would Be Very Useful
  • This Paper Shows How We Can Assess The Parameter Interdependence And Model Quality
  • Hessian Matrix Decomposition Is Employed To Show Linear Dependencies Between Variables And To Put A
  • The Method Determines Parameter Relations That Need Be Constrained To Achieve Satisfactory Convergen
  • Identification Of Nonlinear Models For A Ship Illustrate The Concept

Abstract

Efficient Parameterization for Grey-box Model Identification of Complex Physical Systems - DTU Orbit (20/04/14) Efficient Parameterization for Grey-box Model Identification of Complex Physical Systems - DTU Orbit (20/04/14) Blanke M, Knudsen M. 2006. Efficient Parameterization for Grey-box Model Identification of Complex Physical Systems. In Proceedings 14. IFAC Symposium on System Identification SYSID'2006. International Federation of Automatic Control. Available from: 10.3182/20060329-3-AU-2901.00049

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