UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints

DOI10.1016/j.neunet.2018.08.015zbMath1441.93303OpenAlexW2890604364WikidataQ91869774 ScholiaQ91869774MaRDI QIDQ2182900

Zidong Wang, Yang Liu, Dong Hua Zhou

Publication date: 26 May 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2018.08.015

zbMATH Keywords

state estimationartificial neural networksunscented Kalman filteringcommunication bandwidth constraintserror boundedness

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Networked control (93B70)

Related Items (2)

Non-fragile l₂-l_∞ state estimation for time-delayed artificial neural networks: an adaptive event-triggered approach ⋮ Consensus‐based unscented Kalman filtering over sensor networks with communication protocols

Cites Work

• Stochastic stability of the unscented Kalman filter with intermittent observations
• Stochastic stability of a modified unscented Kalman filter with stochastic nonlinearities and multiple fading measurements
• Optimal linear estimation for networked systems with communication constraints
• UKF-based nonlinear filtering over sensor networks with wireless fading channel
• Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction-diffusion terms using impulsive and linear controllers
• Global exponential stability of nonautonomous neural network models with unbounded delays
• Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity
• \(H_\infty\) state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through fading channels
• Delay-distribution-dependent \(H_\infty\) state estimation for delayed neural networks with \((x, v)\)-dependent noises and fading channels
• Performance evaluation of UKF-based nonlinear filtering
• Distributed Covariance Intersection Fusion Estimation for Cyber-Physical Systems With Communication Constraints
• Complex Valued Nonlinear Adaptive Filters
• Observers for nonlinear stochastic systems
• A strong tracking extended Kalman observer for nonlinear discrete-time systems
• A new method for the nonlinear transformation of means and covariances in filters and estimators
• Distributed State Estimation With Dimension Reduction Preprocessing
• On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks
• Almost Sure Boundedness of Randomly Sampled Systems

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