14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract

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Paper WeA6.6

Blanke, Mogens (Tech. Univ. of Denmark), Knudsen, Morten (Aalborg Univ.)

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

Scheduled for presentation during the Invited Session "Essential Aspects of Marine Systems Dynamics Identification" (WeA6), Wednesday, March 29, 2006, 12:10−12:30, Newcastle Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 17, 2018

Keywords Grey Box Modelling, Other, Identifiability

Abstract

Grey box model identification preserves known physical structures in a model but with limits to the possible excitation, all parameters are rarely identifiable, and different parameterizations 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 quality tag on different parameterizations. The method determines parameter relations that need be constrained to achieve satisfactory convergence. Identification of nonlinear models for a ship illustrate the concept.