Event-Triggered H∞ state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time case

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21703

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DC Field	Value	Language
dc.contributor.author	Liu, H	-
dc.contributor.author	Wang, Z	-
dc.contributor.author	Shen, B	-
dc.contributor.author	Liu, X	-
dc.date.accessioned	2020-10-25T20:43:17Z	-
dc.date.available	2017-09-01	-
dc.date.available	2020-10-25T20:43:17Z	-
dc.date.issued	2017-09-01	-
dc.identifier.citation	H. Liu, Z. Wang, B. Shen and X. Liu, "Event-Triggered $H_\infty$ State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case," in IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3726-3737, Aug. 2018	en_US
dc.identifier.issn	2162-237X	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/21703	-
dc.format.extent	3726 - 3737	-
dc.language	English	-
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Event-triggered mechanism (EVM)	en_US
dc.subject	Memristive neural networks (MNNs)	en_US
dc.subject	Missing measurements	en_US
dc.subject	State estimation	en_US
dc.subject	Stochastic neural networks	en_US
dc.title	Event-Triggered H∞ state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time case	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/TNNLS.2017.2728639	-
dc.relation.isPartOf	IEEE Transactions on Neural Networks and Learning Systems	-
pubs.issue	8	-
pubs.publication-status	Published	-
pubs.volume	29	-
Appears in Collections:	Dept of Computer Science Research Papers

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