Advances in Mechanical Engineering, 2017 The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou +3 more
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A Note on the Extended Kalman Filter on a Manifold
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 12 pages, 3 figures.
Yixiao Ge +2 more
openaire +2 more sources
Robust adaptive estimators for nonlinear systems [PDF]
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]
, 2011 When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
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Auto‐calibration Kalman filters for non‐linear systems with direct feedthrough
IET Control Theory & Applications, 2021 The problem of state estimation for non‐linear systems with unknown inputs is discussed. The objective is to construct a non‐linear filter where the unknown input affects both the state equation and measurement equation. An auto‐calibration Kalman filter
Yi Cui, Zhihua Wang
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Power Systems Dynamic State Estimation With the Two-Step Fault Tolerant Extended Kalman Filtering
IEEE Access, 2021 Bad data may lead to performance degradation or even instability of a power system, which can be caused by various factors: unintentional PMU abnormalities, topology error, malicious cyber-attacks, electromagnetic interference, temporary loss of ...
Xin Wang
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New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems [PDF]
, 2012 This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem
Al-Hadithi, Basil M. +2 more
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Correction Robot pose for SLAM based on Extended Kalman Filter in a Rough Surface Environment
International Journal of Advanced Robotic Systems, 2009 This research deals with mobile robot SLAM algorithm based on extended kalman filter. To enhance a accuracy of robot pose, one more extended kalman filter is used in a rough surface environment.
Sukgyu Lee, Jaeyong Park, Park, Joohyun
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An unscented Kalman filter for freeway traffic estimation [PDF]
, 2006 This paper addresses the problem of freeway tra±c flow estimation. The freeway is considered as a network of components representing different freeway stretches called segments.
HEGYI, A +8 more
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An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series [PDF]
, 2009 Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liu, Y +4 more
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