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Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems

Research article (IET Control Theory and Applications, 2018) · cited 15× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
December 7, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
IET Control Theory and Applicationsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Highly efficient parameter estimation algorithms for Hammerstein non‐linear systemsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2904045068as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1049/IET-CTA.2018.5411as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
Ling Xu, Tasawar Hayat, Yawen Mao
← Author of 3
Ling Xu, Tasawar Hayat, Yawen Mao
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Summary

Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems is a scholarly article[1].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems. Retrieved October 18, 2026, from https://4ort.xyz/entity/highly-efficient-parameter-estimation-algorithms-for-hammerstein-nonlinear-systems
MLA “Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/highly-efficient-parameter-estimation-algorithms-for-hammerstein-nonlinear-systems.
BibTeX @misc{4ortxyz_highly-efficient-parameter-estimation-algorithms-for-hammerstein-nonlinear-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems}}, year = {2026}, url = {https://4ort.xyz/entity/highly-efficient-parameter-estimation-algorithms-for-hammerstein-nonlinear-systems}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Highly efficient parameter estimation algorithms for Hammerstein non‐linear systems — https://4ort.xyz/entity/highly-efficient-parameter-estimation-algorithms-for-hammerstein-nonlinear-systems (retrieved 2026-10-18)

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