A Novel Dual-Error Approach to System Identification

Greeff, H.

doi:10.1007/978-3-319-06773-5_44

H. Greeff³

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 313))

1920 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Chapter: USD 29.95; Price excludes VAT (USA)

eBook: USD 169.00; Price excludes VAT (USA)

Softcover Book: USD 219.99; Price excludes VAT (USA)

Hardcover Book: USD 219.99; Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

G. P. Rao and H. Unbehauen, “Identification of continuous-time systems,” IEE Proceedings - Control Theory, vol. 153, no. 2, pp. 185–220, 2006.
Google Scholar
L. Ljung, System Identification: Theory for the User. Englewood Cliffs, New Jersey: Prentice Hall, 1987.
Google Scholar
T. Söderström and P. Stoica, System identification. Hertfordshire: Prentice Hall International, 1989.
Google Scholar
M. Bodson and S. Sastry, “Input Error versus Output Error Model Reference Adaptive Control,” in American Control Conference, 1987, pp. 224–229.
Google Scholar
Y. Tomita, A. A. H. Damen, and P. M. J. Van Den Hof, “Equation error versus output error methods,” ERGONOMICS, vol. 35, no. 5/6, pp. 551–564, 1992.
Google Scholar
Y. D. Landau, Adaptive control: the model reference approach, First Edit. New York: Marcel Dekker, 1979.
Google Scholar
H. C. So, Y. T. Chan, K. C. Ho, and K. W. Chan, “UNBIASED EQUATION-ERROR APPROACH FOR EFFICIENT IIR SYSTEM IDENTIFICATION,” in Proc. 2004 European Signal Processing Conference, 2004, pp. 1907–1910.
Google Scholar

Download references

Acknowledgment

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

Author information

Authors and Affiliations

Department of Electrical Engineering, University of Cape Town, Private Bag, Rondebosch, 7701, South Africa
H. Greeff

Authors

H. Greeff
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to H. Greeff .

Editor information

Editors and Affiliations

Engineering and Computer Science, University of Bridgeport, Bridgeport, Connecticut, USA
Tarek Sobh
Computer Science and Engineering, University of Bridgeport, Bridgeport, Connecticut, USA
Khaled Elleithy

Rights and permissions

Reprints and permissions

Copyright information

About this paper

Cite this paper

Greeff, H. (2015). A Novel Dual-Error Approach to System Identification. In: Sobh, T., Elleithy, K. (eds) Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-06773-5_44

Download citation

DOI: https://doi.org/10.1007/978-3-319-06773-5_44
Published: 16 October 2014
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06772-8
Online ISBN: 978-3-319-06773-5
eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics