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- W2765259565 abstract "This paper considers the identification problem of multi-input-output-error autoregressive systems. A hierarchical gradient based iterative (H-GI) algorithm and a hierarchical least squares based iterative (H-LSI) algorithm are presented by using the hierarchical identification principle. A gradient based iterative (GI) algorithm and a least squares based iterative (LSI) algorithm are presented for comparison. The simulation results indicate that the H-LSI algorithm can obtain more accurate parameter estimates than the LSI algorithm, and the H-GI algorithm converges faster than the GI algorithm." @default.
- W2765259565 created "2017-11-10" @default.
- W2765259565 creator A5081371472 @default.
- W2765259565 date "2017-01-01" @default.
- W2765259565 modified "2023-10-17" @default.
- W2765259565 title "The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise" @default.
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- W2765259565 doi "https://doi.org/10.1155/2017/5292894" @default.
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