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› Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope
Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope
Research article (Measurement, 2020) · cited 18× · AI/ML
Adaptive H∞ Kalman filter based random drift modeling and compensation method for ring laser gyroscope
Summary
Adaptive H∞ Kalman filter based random drift modeling and compensation method for ring laser gyroscope is a scholarly article<sup id="cite-A2" class="cite-ref" title="Adaptive H∞[1].
Key Facts
Adaptive H∞ Kalman filter based random drift modeling and compensation method for ring laser gyroscope's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Adaptive H∞[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si21-svg-mml-mrow-mml-msub-mml-mrow-mml-mi-h-mml-mi-
MLA“Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si21-svg-mml-mrow-mml-msub-mml-mrow-mml-mi-h-mml-mi-.
BibTeX@misc{4ortxyz_adaptive-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si21-svg-mml-mrow-mml-msub-mml-mrow-mml-mi-h-mml-mi-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si21-svg-mml-mrow-mml-msub-mml-mrow-mml-mi-h-mml-mi-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adaptive <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> Kalman filter based random drift modeling and compensation method for ring laser gyroscope — https://4ort.xyz/entity/adaptive-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si21-svg-mml-mrow-mml-msub-mml-mrow-mml-mi-h-mml-mi- (retrieved 2026-05-24)
