Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling

Research article (Mechanical Systems and Signal Processing, 2020) · cited 24× · AI/ML
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Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling

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Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling is a scholarly article[1].

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  • Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling. Retrieved May 24, 2026, from https://4ort.xyz/entity/retrieving-highly-structured-models-starting-from-black-box-nonlinear-state-space-models-using-polynomial-decoupling
MLA “Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retrieving-highly-structured-models-starting-from-black-box-nonlinear-state-space-models-using-polynomial-decoupling.
BibTeX @misc{4ortxyz_retrieving-highly-structured-models-starting-from-black-box-nonlinear-state-space-models-using-polynomial-decoupling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling}}, year = {2026}, url = {https://4ort.xyz/entity/retrieving-highly-structured-models-starting-from-black-box-nonlinear-state-space-models-using-polynomial-decoupling}, note = {Accessed: 2026-05-24}}
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