Home › Entities › academia › Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.

Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.

Research article (IFAC-PapersOnLine, 2015) · cited 33× · AI/ML
academia openalex:W4289257129
Press Enter · cited answer in seconds

Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.

Summary

Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council. is a scholarly article[1].

Key Facts

  • Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.'s instance of is recorded as scholarly article[2].

Related Entities

Fredrik Lindsten Thomas B Schön

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.. Retrieved May 24, 2026, from https://4ort.xyz/entity/sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn
MLA “Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn.
BibTeX @misc{4ortxyz_sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council.}}, year = {2026}, url = {https://4ort.xyz/entity/sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sequential Monte Carlo Methods for System Identification**This work was supported by the projects Learning of complex dynamical systems (Contract number: 637-2014-466) and Probabilistic modeling of dynamical systems (Contract number: 621-2013-5524), both funded by the Swedish Research Council. — https://4ort.xyz/entity/sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/sequential-monte-carlo-methods-for-system-identification-this-work-was-supported-by-the-projects-learning-of-complex-dyn · Last refreshed: