Geosciences, 2018 To prevent online models diverging from reality they need to be updated to current conditions using observations and data assimilation techniques. A way of doing this for distributed hydrodynamic urban drainage models is to use the Ensemble Kalman Filter
Morten Borup +3 more
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Optimally (Distributional-)Robust Kalman Filtering
, 2010 We present optimality results for robust Kalman filtering where robustness is understood in a distributional sense, i.e.; we enlarge the distribution assumptions made in the ideal model by suitable neighborhoods. This allows for outliers which in our context may be system-endogenous or -exogenous, which induces the somewhat conflicting goals of ...
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Distributed Widely Linear Complex Kalman Filtering
, 2013 We introduce cooperative sequential state space estimation in the domain of augmented complex statistics, whereby nodes in a network collaborate locally to estimate noncircular complex signals. For rigour, a distributed augmented (widely linear) complex Kalman filter (D-ACKF) suited to the generality of complex signals is introduced, allowing for ...
Dini, Dahir H. +2 more
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A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring. [PDF]
Sensors (Basel), 2020 Nkemeni V, Mieyeville F, Tsafack P.
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Robust Estimation Fusion in Wireless Senor Networks with Outliers and Correlated Noises
International Journal of Distributed Sensor Networks, 2014 This paper addresses the problem of estimation fusion in a distributed wireless sensor network (WSN) under the following conditions: (i) sensor noises are contaminated by outliers or gross errors; (ii) process noise and sensor noises are correlated; (iii)
Yan Zhou +3 more
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Characterizing Curvilinear Features Using the Localized Normal-Score Ensemble Kalman Filter
Abstract and Applied Analysis, 2012 The localized normal-score ensemble Kalman filter is shown to work for the characterization of non-multi-Gaussian distributed hydraulic conductivities by assimilating state observation data.
Haiyan Zhou +2 more
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A novel approach for estimating hydraulic conductivity of non-Gaussian aquifer
Shuiwen dizhi gongcheng dizhiThe ensemble Kalman filter (EnKF) is one of the most widely used data assimilation methods. However, it exhibits limitations in handling non-Gaussian problems.
Meng SUN +5 more
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Distributed Kalman Filtering Using Weighted Averaging
, 2006 This paper addresses the problem of distributed Kalman filtering, with focus on limiting the required communication bandwidth. By distributed we refer to a scenario when all nodes in the network desire an estimate of the full state of the observed system and there is no centralized computation center.
Alriksson, Peter, Rantzer, Anders
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A hierarchical lateral stability control strategy of distributed drive electric vehicles based on extended Kalman filter and integral terminal sliding mode control. [PDF]
PLoS OneWang J, Zhao Y, Gao W, Deng Z.
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Optimal Sequential Fusion Kalman Filter for Multi-Sensor Linear Systems with Noise Cross-Correlated. [PDF]
Sensors (Basel)Huang W, Wen C.
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