Jan 1, 2018 · This study considers the network-based state estimation problem for neural networks where transmitted measurements suffer from the sampling effect.
This study considers the network-based H∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, ...
This study considers the network-based H∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, ...
This study considers the network-based H∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, ...
This study considers the network-based E∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, ...
This study considers the network-based H∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, ...
Jan 22, 2024 · For the considered neural networks with uncertainties, a reduced-order H ∞ state estimator is designed, which makes that the error dynamics is ...
This study considers the network-based H∞ state estimation problem for neural networks where transmitted measurements suffer from the sampling effect, external ...
Feb 27, 2015 · This paper investigates the H state estimation problem for a class of discrete-time nonlinear systems of the neural network type with random time-varying ...
Oct 24, 2023 · This chapter is concerned with the network-based H∞ state estimation problem for neural networks. Because of network constraints, we consider that transmitted ...
Missing: imperfect | Show results with:imperfect