Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach

标题
Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach
作者
关键词
Artificial neural networks, State estimation, Randomly occurring delay, Time-varying probability, Dynamic event triggering mechanism, Gain-scheduled approach
出版物
NEURAL NETWORKS
Volume 132, Issue -, Pages 211-219
出版商
Elsevier BV
发表日期
2020-09-04
DOI
10.1016/j.neunet.2020.08.023

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