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An Analytical Method for Parameter Estimation Errors

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Book cover Information Computing and Applications (ICICA 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 308))

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Abstract

The paper points out the existence of estimation error of a parameter estimation method with bounded uncertainty data, analyzes the reason for the existence of estimation error and gives the upper bound of it.

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References

  1. Yin, S.: Theory and Methods of Parameter Estimation in Linear Models (2005)

    Google Scholar 

  2. Xie, M., Yan, F.: Teaching Innovation of the Course "System Modeling and Parameter Estimation" of System Science Major. Journal of Higher Education Research 04, 107–109 (2010)

    Google Scholar 

  3. Liu, D., Xu, W., Guo, P., Ni, F.: Estimation of unknown parameters and adaptive anti-synchronization of quadratic autonomous chaos systems via a scale controller. Acta Physica Sinica 09, 5934–5939 (2010)

    Google Scholar 

  4. el Ghaout, L., Lebret, H.: Robust solutions to least-squares problems with uncertain data. SIAM J. Matrix Anal. Appl., 1035–1064 (1997)

    Google Scholar 

  5. Chandrasekaran, S., Golub, G.H., Gu, M., Sayed, A.H.: Parameter estimation in the presence of bounded data uncertainties. SIAM J. Matrix Anal. Appl., 235–252 (1998)

    Google Scholar 

  6. Yang, Z., Mao, J., Wei, K.: Parameter Estimation Based on LMI with Bounded Data Uncertainties. Journal of Beijing University of Aeronautics and Astronautics, 481–484 (2000)

    Google Scholar 

  7. Yuan, Y., Li, C., Sun, T.: Modified Characteristic Finite Difference Fractional Steps Method for Moving Boundary Value Problem of Percolation Coupled System. Applied Mathematics and Mechanics 02, 177–194 (2012)

    Article  MathSciNet  Google Scholar 

  8. Shen, X., Zhu, Y., Song, E., Luo, Y., You, Z.: Minimizing Euclidian State Estimation Error for Uncertain Dynamic Systems Based on Multisensor and Multi-Algorithm Fusion. In: The Twenty-Ninth Chinese Control Conference, pp. 4837–4842 (2010)

    Google Scholar 

  9. Du, M., Yan, J.: The Parameter Estimate of Some Bounded Incertitude Datum. Journal of Huangshi Education College 04, 81–85 (2006)

    Google Scholar 

  10. Luo, Y., Shen, X., Zhu, Y.: Integrated optimization methods in multisensor decision and estimation fusion. Science China Information Sciences 03, 545–550 (2012)

    Article  MathSciNet  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Fan, Q., Wei, Q., Li, P., Liu, B. (2012). An Analytical Method for Parameter Estimation Errors. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_44

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  • DOI: https://doi.org/10.1007/978-3-642-34041-3_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34040-6

  • Online ISBN: 978-3-642-34041-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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