Results 11 to 20 of about 24,768 (158)
A Novel Real-Time Filtering Method to General Nonlinear Filtering Problem Without Memory
IEEE Access, 2021 In this paper, the filtering problem for the general time-invariant nonlinear state-observation system is considered. Our work is based on the Yau-Yau filtering framework developed by S.-T. Yau and the third author in 2008.
Ji Shi +2 more
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Power Generation Prediction of an Open Cycle Gas Turbine Using Kalman Filter
Energies, 2020 The motivation for this paper is the enhanced role of power generation prediction in power plants and power systems in the smart grid paradigm. The proposed approach addresses the impact of the ambient temperature on the performance of an open cycle gas ...
Christos Manasis +4 more
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Equivariant filtering framework for inertial-integrated navigation
Satellite Navigation, 2021 This paper proposes an Equivariant Filtering (EqF) framework for the inertial-integrated state estimation. As the kinematic system of the inertial-integrated navigation can be naturally modeled on the matrix Lie group SE 2(3), the symmetry of the Lie ...
Yarong Luo, Chi Guo, Jingnan Liu
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Sensors, 2023 High-precision navigation solutions are a main requirement for autonomous vehicle (AV) applications. Global navigation satellite systems (GNSSs) are the prime source of navigation information for such applications.
Ahmed Ibrahim +3 more
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Progress in symmetry preserving robot perception and control through geometry and learning
Frontiers in Robotics and AI, 2022 This article reports on recent progress in robot perception and control methods developed by taking the symmetry of the problem into account. Inspired by existing mathematical tools for studying the symmetry structures of geometric spaces, geometric ...
Maani Ghaffari +8 more
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Sensors, 2019 The accuracy and rate of convergence are two important performance factors for initial ground alignment of a strapdown inertial navigation system (SINS).
Lu Zhang, Wenqi Wu, Maosong Wang
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Towards Accurate Ground Plane Normal Estimation from Ego-Motion
Sensors, 2022 In this paper, we introduce a novel approach for ground plane normal estimation of wheeled vehicles. In practice, the ground plane is dynamically changed due to braking and unstable road surface. As a result, the vehicle pose, especially the pitch angle,
Jiaxin Zhang +4 more
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A Comparative Study on State of Charge Estimation using EKF and IEKF [PDF]
E3S Web of ConferencesThe nature of the “Portable Intelligent Micro Device for Hemodialysis” system requires a mobile electrical energy source capable of providing the essential power for efficient system operation. A battery with a management system can ensure this operation,
Derouech Yassine, Mesbahi Abdelouahed
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DNN-Based Slip Ratio Estimator for Lugged-Wheel Robot Localization in Rough Deformable Terrains
IEEE Access, 2023 This paper presents a deep neural network (DNN)-based slip ratio estimator fused with an invariant extended Kalman filter (IEKF) for lugged-wheel robot localization using an inertial sensor and an encoder.
Chul-Hong Kim, Dong-Il Cho
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An Extended Kalman Filter for Data-enabled Predictive Control
, 2020 The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Alpago, Daniele +2 more
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