Results 21 to 30 of about 48,416 (251)
Robust Inference for State-Space Models with Skewed Measurement Noise [PDF]
, 2015 Filtering and smoothing algorithms for linear discrete-time state-space models with skewed and heavy-tailed measurement noise are presented. The algorithms use a variational Bayes approximation of the posterior distribution of models that have normal ...
Ardeshiri, Tohid +3 more
core +2 more sources
A New Adaptive H-Infinity Filtering Algorithm for the GPS/INS Integrated Navigation
Sensors, 2016 The Kalman filter is an optimal estimator with numerous applications in technology, especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman filtering algorithms, based on the Kalman filter, can control the influence of ...
Chen Jiang, Shu-Bi Zhang, Qiu-Zhao Zhang
doaj +1 more source
Advances in Difference Equations, 2020 In this paper, the extended Kalman filtering scheme in a distributed manner is presented for state-saturated nonlinear systems (SSNSs), where the randomly occurring cyberattacks (ROCAs) with uncertain occurring probabilities (UOPs) are taken into account.
Jiaxing Li +3 more
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Optimal Energy Allocation for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgments and Energy Harvesting Constraints [PDF]
, 2014 This paper presents a design methodology for optimal transmission energy allocation at a sensor equipped with energy harvesting technology for remote state estimation of linear stochastic dynamical systems.
Dey, Subhrakanti +2 more
core +3 more sources
Distributed Kalman Filtering With Finite-Time Max-Consensus Protocol
IEEE Access, 2018 This paper investigates the distributed state estimation problem for an unstable dynamic plant in a sparsely strongly connected sensors network. The dynamics of the plant are collectively observable for all sensors, but not necessarily locally observable
Peng Liu, Yu-Ping Tian, Ya Zhang
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Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process
Discrete Dynamics in Nature and Society, 2015 For large-scale distributed systems, the evolution of system dynamics is dominated by current states and boundary conditions simultaneously. This work describes a distributed consensus filtering for a class of large-scale distributed systems with unknown
Liguo Zhang, Ying Lyu
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Distributed consensus strong tracking filter for wireless sensor networks with model mismatches
International Journal of Distributed Sensor Networks, 2017 A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
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Distributed ensemble Kalman filtering
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism.
Arslan Shahid +2 more
openaire +2 more sources
Distributed finite element Kalman filter [PDF]
2015 European Control Conference (ECC), 2015 This paper addresses state estimation for spatially distributed systems governed by linear partial differential equations from discrete in-space-and-time noisy measurements provided by sensors deployed over the spatial domain of interest. A decentralised and scalable approach is undertaken by decomposing the domain into overlapping subdomains assigned ...
BATTISTELLI, GIORGIO +4 more
openaire +2 more sources
Trust-Based Distributed Set-Membership Filtering for Target Tracking Under Network Attacks
IEEE Access, 2023 For target tracking problems in wireless sensor networks subject to malicious network attacks, this paper proposes a distributed set-membership filtering algorithm based on trust dynamic combination strategy.
Haibo Wu +3 more
doaj +1 more source