Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities

• Published in: Neural networks Vol. 130; pp. 143 - 151
• Main Authors: Li, Jiahui, Wang, Zidong, Dong, Hongli, Fei, Weiyin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2020
• Subjects: Artificial neural networks; Markov chain; Random delays; Stochastic communication protocol; Uncertain transition probability; Markov chain; Stochastic communication protocol; Random delays; Uncertain transition probability; Artificial neural networks

In this paper, the protocol-based remote state estimation problem is considered for a kind of delayed artificial neural networks. The random time-varying delays fall into certain intervals with known probability distributions. For the sake of reducing the data collisions in communication channel fro...