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Design of extended Kalman filter for SEPIC converter and comparison to Kalman filter [PDF]
SN Applied Sciences, 2020 Single ended primary inductance converter (SEPIC) is a type of DC-DC converter whose industrial applications include maximum power point tracking and Active power factor correction. Owing to present nonlinear circuit components, SEPIC has discontinuous nonlinearity and for the mathematical model determination, state space averaging or more advanced ...
Artun Sel, Cosku Kasnakoglu
openaire +3 more sources
Batteries &Supercaps, Volume 6, Issue 1, January 2023., 2023 We introduce a computer algorithm that incorporates the experience of battery researchers to extract information from experimental data reproducibly. This enables the fitting of complex models that take up to a few minutes to simulate. For validation, we process full‐cell GITT measurements to characterize the diffusivities of both electrodes non ...
Yannick Kuhn +3 more
wiley +1 more source
Computer Animation and Virtual Worlds, Volume 33, Issue 6, November/December 2022., 2022 Stereo window violations in 3D rendering occur when virtual objects in front of a physical screen are clipped at the screen borders. Dynparity introduces a real‐time, per‐vertex, nonuniform projection to eliminate this adversary effect. Our user study shows that Dynparity significantly reduces simulator sickness compared to standard stereo rendering on
Christoph Schröder‐Dering +2 more
wiley +1 more source
Italian National Conference on Sensors, 2020 Detection and distance measurement using sensors is not always accurate. Sensor fusion makes up for this shortcoming by reducing inaccuracies. This study, therefore, proposes an extended Kalman filter (EKF) that reflects the distance characteristics of ...
Taek-Lim Kim, Tae-Hyoung Park
semanticscholar +1 more source
Interval Extended Kalman Filter—Application to Underwater Localization and Control
Algorithms, 2021 The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an ...
Morgan Louédec, Luc Jaulin
doaj +1 more source
IEEE Transactions on Vehicular Technology, 2020 Battery management system (BMS) is one of the key subsystems of electric vehicle, and the battery state-of -charge (SOC) is a crucial input for the calculations of energy and power. Therefore, SOC estimation is a significant task for BMS.
Zhicheng He +3 more
semanticscholar +1 more source
Novel traffic congestion detection algorithms for smart city applications
Concurrency and Computation: Practice and Experience, Volume 35, Issue 5, 28 February 2023., 2023 Summary Traffic congestion detection (TCD) techniques are becoming a critical component of traffic management systems. They can be considered a pre‐step to address traffic jam problems, providing useful input for traffic management systems to predict and avoid traffic congestions' unwanted effects.
Mohammad Bawaneh, Vilmos Simon
wiley +1 more source
Journal of Low Frequency Noise, Vibration and Active Control, 2020 The extended Kalman filter is a useful tool in the research of structural health monitoring and vibration control. However, the traditional extended Kalman filter approach is only applicable when the information of external inputs to structures is ...
Jinshan Huang +4 more
doaj +1 more source
Non-Linear Filtering for Precise Point Positioning GPS/INS integration [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This research investigates the performance of non-linear estimation filtering for GPS-PPP/MEMS-based inertial system. Although integrated GPS/INS system involves nonlinear motion state and measurement models, the most common estimation filter employed ...
M. Abd Rabbou, A. El-Rabbany
doaj +1 more source
A Novel Fuzzy-Adaptive Extended Kalman Filter for Real-Time Attitude Estimation of Mobile Robots
Italian National Conference on Sensors, 2020 This paper proposes a novel fuzzy-adaptive extended Kalman filter (FAEKF) for the real-time attitude estimation of agile mobile platforms equipped with magnetic, angular rate, and gravity (MARG) sensor arrays.
Ákos Odry +5 more
semanticscholar +1 more source