Results 61 to 70 of about 70,228 (184)
Distributed Kalman filtering using consensus strategies [PDF]
2007 46th IEEE Conference on Decision and Control, 2007 In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own measurements and estimates from its neighbors. Estimation is performed via a two stage strategy, the first being a Kalman-like measurement update which does not require ...
CARLI, RUGGERO +3 more
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Advances in Mechanical Engineering, 2018 This article proposed a strong robust observer of distributed drive electric vehicle states, including yaw rate, sideslip angle, and longitudinal velocity.
Guoqing Geng +4 more
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Accounting for model error in Tempered Ensemble Transform Particle Filter and its application to non-additive model error [PDF]
, 2019 In this paper, we trivially extend Tempered (Localized) Ensemble Transform Particle Filter---T(L)ETPF---to account for model error. We examine T(L)ETPF performance for non-additive model error in a low-dimensional and a high-dimensional test problem. The
Dubinkina, Svetlana, Ruchi, Sangeetika
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EnergiesThe journal retracts the article titled “A Kalman Filter-Based Distributed Cyber-Attack Mitigation Strategy for Distributed Generator Units in Meshed DC Microgrids” [...]
Wenpei Li +4 more
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Distributed estimation of oscillations in power systems: An extended Kalman filtering approach
CSEE Journal of Power and Energy Systems, 2019 Online estimation of electromechanical oscillation parameters provides essential information to prevent system instability and blackout and helps to identify event categories and locations.
Zhe Yu +5 more
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Distributed Fusion Kalman Self-turning Filter
Proceedings of the 2nd International Conference On Systems Engineering and Modeling, 2013 This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice.
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MathematicsIn medium- and low-voltage three-phase distribution networks, the load imbalance among the phases may compromise the network voltage symmetry. Inverter-interfaced distributed energy resources (DERs) can contribute to compensating for such imbalances by ...
Ricardo Pérez-Ibacache +4 more
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Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks
Discrete Dynamics in Nature and Society, 2018 This paper investigates the distributed filtering for discrete-time-invariant systems in sensor networks where each sensor’s measuring system may not be observable, and each sensor can just obtain partial system parameters with unknown coefficients which
Donghua Chen +3 more
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IEEE Access, 2020 Taking the photovoltaic (PV)-hybrid energy storage system (HESS) composed of the distributed PV power generation and the distributed energy storage as the research object, under the scenario of smoothing PV power fluctuation, a dual-regulating feedback ...
Xiaojuan Han, Xingyu Liu, Hui Wang
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Bibliographic Review on Distributed Kalman Filtering [PDF]
, 2013 In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this paper, a bibliographical review on distributed Kalman filtering (DKF) is provided.\ud The paper contains a ...
Khalid , Dr. Haris M. +1 more
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