Title | ||
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Least-squares-based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling |
Abstract | ||
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This paper focuses on identification problems for Hammerstein systems with non-uniform sampling. By using the over-parameterization technique, we derive a linear regressive identification model with different input updating rates. To solve the identification problem of Hammerstein output error systems with the unmeasurable variables in the information vector, the least-squares-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimates. The performances of the proposed algorithm are analysed and compared by using a numerical example. |
Year | DOI | Venue |
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2013 | 10.1080/00207160.2012.758364 | Int. J. Comput. Math. |
Keywords | Field | DocType |
hammerstein nonlinear system,corresponding iterative estimate,linear regressive identification model,unmeasurable variable,least-squares-based iterative identification algorithm,least-squares-based iterative algorithm,hammerstein system,non-uniform sampling,different input,information vector,proposed algorithm,identification problem,hammerstein output error system,least squares,parameter estimation,non uniform sampling,iterative algorithm | Least squares,Mathematical optimization,Nonlinear system,Iterative method,Hammerstein systems,Algorithm,Sampling (statistics),Estimation theory,Mathematics,Parameter identification problem,Nonuniform sampling | Journal |
Volume | Issue | ISSN |
90 | 7 | 0020-7160 |
Citations | PageRank | References |
9 | 0.52 | 36 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangli Li | 1 | 25 | 2.22 |
Ruifeng Ding | 2 | 261 | 11.82 |
Lincheng Zhou | 3 | 27 | 3.92 |