Results 21 to 30 of about 7,374 (201)
Towards Energy Management Negotiation Between Distributed AC/DC Networks
IEEE Access, 2020 The ongoing development of technology has changed the nature of electric networks in the field of electric power generation. In the same vein, the generation units and demands are getting close by the integration of distributed resources within the ...
Mohamed A. Mohamed +5 more
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Simulation Performance Enhancement in Automotive Embedded Control Using the Unscented Transform
IEEE Access, 2020 Automotive embedded systems comprise several domains, such as in software, electrical, electronics, and control. When designing and testing functions at the top level, one generally ignores the uncertainties arising from the electrical and electronic ...
Abraham Elias Ortega Paredes +6 more
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The Local Unscented Transform Kalman Filter for the Weather Research and Forecasting Model
Atmosphere, 2023 In this study, the local unscented transform Kalman filter (LUTKF) proposed in the previous study estimates the state of the Weather Research and Forecasting (WRF) model through local analysis.
Kwangjae Sung
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Measurement + Control, 2019 Multi-target tracking is widely applied in video surveillance systems. As we know, although the standard particle cardinalized probability hypothesis density filter can estimate state of targets, it is difficult to define the proposal distribution ...
Bo Li, Huawei Yi, Xiaohui Li
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Optimal Scheduling and Management of a Smart City Within the Safe Framework
IEEE Access, 2020 This paper proposes an enhanced cyber secure energy and data transaction framework for the optimal operation and management of the smart city. Recently, the concept of smart city within the power systems has taken the center stage.
Qunlong Duan +6 more
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Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing
Drones, 2023 The vast increase in the available computational capability has allowed the application of Particle-Filter (PF)-based approaches for monocular 3D-model-based tracking.
Nuno Pessanha Santos +2 more
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Unscented Transformation of Vehicle States in SLAM
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2006 In this article we propose an algorithm to reduce the affects caused by linearization in the typical EKF approach to SLAM. The technique consists in computing the vehicle prior using an Unscented Transformation. The UT allows a better nonlinear mean and variance estimation than the EKF.
Juan Andrade-Cetto +2 more
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Ensemble Kalman filter with the unscented transform [PDF]
Physica D: Nonlinear Phenomena, 2009 A modification scheme to the ensemble Kalman filter (EnKF) is introduced based on the concept of the unscented transform (Julier et al., 2000; Julier and Uhlmann, 2004), which therefore will be called the ensemble unscented Kalman filter (EnUKF) in this work. When the error distribution of the analysis is symmetric (not necessarily Gaussian), it can be
Luo, X, Moroz, I
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Novel Mobile Robot Simultaneous Loclization and Mapping Using Rao-Blackwellised Particle Filter
International Journal of Advanced Robotic Systems, 2006 This paper presents the novel method of mobile robot simultaneous localization and mapping (SLAM), which is implemented by using the Rao-Blackwellised particle filter (RBPF) for monocular vision-based autonomous robot in unknown indoor environment.
Li Maohai, Hong Bingrong, Luo Ronghua
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Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion
Sensors, 2018 In most practical applications, the tracking process needs to update the data constantly. However, outliers may occur frequently in the process of sensors’ data collection and sending, which affects the performance of the system state estimate.
Zhihong Deng +3 more
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