Lag quasi-synchronization for periodic neural networks with unreliable redundant communication channels
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.097
Abstract: Abstract This work studies lag quasi-synchronization (LQS) for discrete-time master–slave (MS) periodic neural networks (NNs) with the communication channel (CC) constraint. A logarithmic quantizer is used to overcome the CC constraint, and a redundant CC… read more here.
Keywords: lag quasi; neural networks; communication; quasi synchronization ... See more keywords
State Estimation for Periodic Neural Networks With Uncertain Weight Matrices and Markovian Jump Channel States
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DOI: 10.1109/tsmc.2017.2708700
Abstract: This paper studies the state estimator design for periodic neural networks, where stochastic weight matrices $ {B(k)}$ and packet dropouts are considered. The stochastic variables, which may influence each other, are introduced to describe uncertainties… read more here.
Keywords: weight matrices; state; neural networks; periodic neural ... See more keywords