Minimum-Variance Recursive Filtering Over Sensor Networks With Stochastic Sensor Gain Degradation: Algorithms and Performance Analysis

DOI10.1109/TCNS.2015.2459351zbMath1370.93283MaRDI QIDQ5358503

Yang Liu, Xiao He, Zidong Wang, Dong Hua Zhou

Publication date: 21 September 2017

Published in: IEEE Transactions on Control of Network Systems (Search for Journal in Brave)

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11)

Related Items (7)

Protocol‐based extended Kalman filtering with quantization effects: The Round‐Robin case ⋮ Recursive locally minimum-variance filtering for two-dimensional systems: when dynamic quantization effect meets random sensor failure ⋮ Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: the finite-horizon case ⋮ Distributed filtering for a class of discrete-time systems over wireless sensor networks ⋮ Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols ⋮ Fault-tolerant state estimation for stochastic systems over sensor networks with intermittent sensor faults ⋮ Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains

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