Partial-neurons-based state estimation for artificial neural networks under constrained bit rate: The finite-time case

This paper is concerned with the partial-neuron-based finite-time state estimation problem for a class of artificial neural networks with time-varying delays. Measurements information from only a small fractional of the artificial neurons are applied to the state estimation process. The data transmi...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 488; S. 144 - 153
Hauptverfasser:	Wang, Licheng, Zhao, Di, Wang, Yu-Ang, Ding, Derui, Liu, Hongjian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2022
Schlagworte:	Artificial neural networks Bit-rate constraints Encoding–decoding mechanism Finite-time state estimation Partial-nodes-based state estimation Encoding–decoding mechanism Partial-nodes-based state estimation Finite-time state estimation Bit-rate constraints Artificial neural networks
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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