Home ›
Entities
› academia
› Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity
Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity
Research article (Neurocomputing, 2016) · cited 19× · AI/ML
Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity
Summary
Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity is a scholarly article[1].
Key Facts
Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-fragile-mixed-h-and-passive-asynchronous-state-estimation-for-markov-jump-neural-networks-with-randomly-occurring-un
MLA“Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-fragile-mixed-h-and-passive-asynchronous-state-estimation-for-markov-jump-neural-networks-with-randomly-occurring-un.
BibTeX@misc{4ortxyz_non-fragile-mixed-h-and-passive-asynchronous-state-estimation-for-markov-jump-neural-networks-with-randomly-occurring-un_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity}}, year = {2026}, url = {https://4ort.xyz/entity/non-fragile-mixed-h-and-passive-asynchronous-state-estimation-for-markov-jump-neural-networks-with-randomly-occurring-un}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Non-fragile mixed H∞ and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity — https://4ort.xyz/entity/non-fragile-mixed-h-and-passive-asynchronous-state-estimation-for-markov-jump-neural-networks-with-randomly-occurring-un (retrieved 2026-05-24)
