Results 61 to 70 of about 202,753 (224)
Distributed Kalman filtering for cascaded systems [PDF]
Engineering Applications of Artificial Intelligence, 2008 The Kalman filter provides an efficient means to estimate the state of a linear process, so that it minimizes the mean of the squared estimation error. However, for naturally distributed applications, the construction and tuning of a centralized observer may present difficulties.
Z. Lendek, R. Babuška, B. De Schutter
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A mollified Ensemble Kalman filter
, 2010 It is well recognized that discontinuous analysis increments of sequential data assimilation systems, such as ensemble Kalman filters, might lead to spurious high frequency adjustment processes in the model dynamics.
Anderson +27 more
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Distributed Periodic Steady State Kalman Filter
International Journal of Circuits, Systems and Signal Processing, 2022 In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived.
Assimakis, N., Adam, M., Massouros, C.
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A Nonparametric Adaptive Nonlinear Statistical Filter
, 2014 We use statistical learning methods to construct an adaptive state estimator for nonlinear stochastic systems. Optimal state estimation, in the form of a Kalman filter, requires knowledge of the system's process and measurement uncertainty.
Busch, Michael, Moehlis, Jeff
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Decoding the `Nature Encoded' Messages for Distributed Energy Generation Control in Microgrid
, 2010 The communication for the control of distributed energy generation (DEG) in microgrid is discussed. Due to the requirement of realtime transmission, weak or no explicit channel coding is used for the message of system state. To protect the reliability of
Gong, Shuping +3 more
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IET Radar, Sonar & Navigation, 2022 A new variational Bayesian‐based adaptive distributed fusion unscented Kalman filter (ADFUKF‐VB) algorithm is proposed for the problem of state estimation in a distributed fusion target tracking system with unknown sensor measurement losses.
Zhentao Hu +3 more
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A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem
, 2018 Disturbance noises are always bounded in a practical system, while fusion estimation is to best utilize multiple sensor data containing noises for the purpose of estimating a quantity--a parameter or process.
Chen, Bo +3 more
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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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Distributed spectrum sensing in rem based cognitive radio networks [PDF]
مجله مدل سازی در مهندسی, 2019 Ever increasing development of wireless devices and wireless networks have increased the value of spectral space. Many efforts have been conducted to increase spectral utilization.
nematollah Ezzati, hassan Taheri
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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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