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› Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti
Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti
Research article (Journal of the Franklin Institute, 2018) · cited 20× · AI/ML
Event-triggered L2–L∞ state estimation for discrete-time neural networks with sensor saturations and data quanti
Summary
Event-triggered L2–L∞ state estimation for discrete-time neural networks with sensor saturations and data quanti is a scholarly article<sup id="cite-A2" class="cite-ref" title="Event-triggered L2[1].
Key Facts
Event-triggered L2–L∞ state estimation for discrete-time neural networks with sensor saturations and data quanti's instance of is recorded as scholarly article<sup id="cite-C1" class="cite-ref" title="Event-triggered L2[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). Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti. Retrieved May 24, 2026, from https://4ort.xyz/entity/event-triggered-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si7-gif-overflow-scroll-mml-msub-mml-mi-mathv
MLA“Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/event-triggered-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si7-gif-overflow-scroll-mml-msub-mml-mi-mathv.
BibTeX@misc{4ortxyz_event-triggered-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si7-gif-overflow-scroll-mml-msub-mml-mi-mathv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti}}, year = {2026}, url = {https://4ort.xyz/entity/event-triggered-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si7-gif-overflow-scroll-mml-msub-mml-mi-mathv}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Event-triggered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si8.gif" overflow="scroll"><mml:msub><mml:mi mathvariant="bold-script">L</mml:mi><mml:mi>∞</mml:mi></mml:msub></mml:math> state estimation for discrete-time neural networks with sensor saturations and data quanti — https://4ort.xyz/entity/event-triggered-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si7-gif-overflow-scroll-mml-msub-mml-mi-mathv (retrieved 2026-05-24)
