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A Novel Dual-Error Approach to System Identification

  • H. GreeffEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 313)

Abstract

Single error system identification techniques are widely used to estimate the parameters of dynamic mathematical models that are needed in a range of industrial applications. A novel Dual-Error system identification technique is proposed. It is based on a modification of the traditional single-error methods and shown to offer better accuracy for the estimation of model parameters. The benefits of the proposed method are demonstrated by a comparison with traditional methods when applied to both a simulated system and a DC motor.

Keywords

System identification Dynamic system identification Parameter estimation Generalised error single error Dual-error 

Notes

Acknowledgment

The author would like to thank Professor M. Braae for his help, whose patience, guidance and motivation made this project possible.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUniversity of Cape TownRondeboschSouth Africa

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