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Identification of LPV system using locally weighted technique

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Abstract

The problem of linear parameter varying (LPV) system identification is considered based on the locally weighted technique which provides estimation of the LPV model parameters at each distinct data time point by giving large weights to measurements that are “close” to the current time point and small weights to measurements “far” from the current time point. Issues such as choice of distance function, weighting function and bandwidth selection are discussed. The developed method is easy to implement and simulation results illustrate its efficiency.

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Authors and Affiliations

  1. Department of Mathematics, Zhejiang University, Hangzhou, 310027, China

    Jiu-sun Zeng & Chuan-hou Gao

  2. School of Management, Jiangxi University of Finance and Economics, Nanchang, 331300, China

    Shi-hua Luo

Authors
  1. Jiu-sun Zeng
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  2. Chuan-hou Gao
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  3. Shi-hua Luo
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Corresponding author

Correspondence to Chuan-hou Gao.

Additional information

Supported by the National Natural Science Foundation of China (10826100, 10901139 and 60964005).

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Zeng, Js., Gao, Ch. & Luo, Sh. Identification of LPV system using locally weighted technique. Appl. Math. J. Chin. Univ. 25, 411–419 (2010). https://doi.org/10.1007/s11766-010-2334-6

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  • DOI: https://doi.org/10.1007/s11766-010-2334-6

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