A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering

Research article (Journal of the Franklin Institute, 2017) · cited 67× · AI/ML
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A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering

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A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-recursive-least-squares-parameter-estimation-algorithm-for-output-nonlinear-autoregressive-systems-using-the-inputoutp
MLA “A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-recursive-least-squares-parameter-estimation-algorithm-for-output-nonlinear-autoregressive-systems-using-the-inputoutp.
BibTeX @misc{4ortxyz_a-recursive-least-squares-parameter-estimation-algorithm-for-output-nonlinear-autoregressive-systems-using-the-inputoutp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering}}, year = {2026}, url = {https://4ort.xyz/entity/a-recursive-least-squares-parameter-estimation-algorithm-for-output-nonlinear-autoregressive-systems-using-the-inputoutp}, note = {Accessed: 2026-05-24}}
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