Continuous-time system identification with neural networks: Model structures and fitting criteria

Research article (European Journal of Control, 2021) · cited 68× · AI/ML
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Continuous-time system identification with neural networks: Model structures and fitting criteria

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Continuous-time system identification with neural networks: Model structures and fitting criteria is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Continuous-time system identification with neural networks: Model structures and fitting criteria. Retrieved May 24, 2026, from https://4ort.xyz/entity/continuous-time-system-identification-with-neural-networks-model-structures-and-fitting-criteria
MLA “Continuous-time system identification with neural networks: Model structures and fitting criteria.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/continuous-time-system-identification-with-neural-networks-model-structures-and-fitting-criteria.
BibTeX @misc{4ortxyz_continuous-time-system-identification-with-neural-networks-model-structures-and-fitting-criteria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Continuous-time system identification with neural networks: Model structures and fitting criteria}}, year = {2026}, url = {https://4ort.xyz/entity/continuous-time-system-identification-with-neural-networks-model-structures-and-fitting-criteria}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Continuous-time system identification with neural networks: Model structures and fitting criteria — https://4ort.xyz/entity/continuous-time-system-identification-with-neural-networks-model-structures-and-fitting-criteria (retrieved 2026-05-24)

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