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Unscented and square‐root unscented Kalman filters for quaternionic systems
International Journal of Robust and Nonlinear Control, 2018SummaryProper construction of an unscented Kalman filter (UKF) for unit quaternionic systems is not straightforward due to the incompatibility between the algebraic properties of the unit quaternions and the common real vector space operations (additions and scalar multiplications) needed in the steps of a filter algorithm. This work studies, in detail,
Henrique Menegaz, J Y Ishihara
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ISA Transactions, 2020
Industrial cyber-physical systems (ICPSs) have received increasing attention from both academia and industry. However, the privacy-utility trade-off of process parameters is still a challenge in the ICPSs. To address this challenge, a Kalman filter-based differential privacy and an unscented Kalman filter-based differential privacy algorithms are ...
, Zhicheng Ji
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Industrial cyber-physical systems (ICPSs) have received increasing attention from both academia and industry. However, the privacy-utility trade-off of process parameters is still a challenge in the ICPSs. To address this challenge, a Kalman filter-based differential privacy and an unscented Kalman filter-based differential privacy algorithms are ...
, Zhicheng Ji
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Square-root unscented Kalman filter for state estimation of permanent magnet synchronous motor
2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2016This paper investigates a square-root unscented Kalman filter for state estimation of a motor drive without position sensor. The square-root filter has advantages of the numerical stability, and memory and code size reduction. A combination of the square-root filter and Kalman filter is an effective way for preventing the performance degradation due to
Young Ahn Kwon, Cheol Moon
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Low-Complexity Square-Root Unscented Kalman Filter Design Methodology
Circuits, Systems, and Signal Processing, 2023Square-root unscented Kalman filter (SRUKF) is a widely used state estimator for several state of-the-art, highly nonlinear, and critical applications. It improves the stability and numerical accuracy of the system compared to the non-square root formulation, the unscented Kalman filter (UKF).
Rashi Dutt, Amit Acharyya
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The square-root unscented Kalman filter for state and parameter-estimation
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002Over the last 20-30 years, the extended Kalman filter (EKF) has become the algorithm of choice in numerous nonlinear estimation and machine learning applications. These include estimating the state of a nonlinear dynamic system as well estimating parameters for nonlinear system identification (eg, learning the weights of a neural network).
Rudolph van der Merwe, Eric A. Wan
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Iterated square root unscented Kalman particle filter
2010 IEEE Youth Conference on Information, Computing and Telecommunications, 2010In order to improve tracking estimation accuracy of square-root unscented Kalman particle filter (SRUKFPF), a new particle filter algorithm of update SRUKF based on iterated measurements is proposed. The algorithm produces the important density function of particle filter using maximum posteriori estimate of iterated square-root unscented Kalman filter,
null Guohui Li, null Hong Yang
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Optimized Exponential Square Root Unscented Kalman Filter for State Estimation of Hydraulic Systems
2022 IEEE 17th International Conference on Advanced Motion Control (AMC), 2022Peer ...
Mattila Jouni, Asl Mohammadi Asl
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Square Root Unscented Kalman Filter based ceiling vision SLAM
2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013This paper proposes a new approach of monocular ceiling vision based simultaneous localization and mapping (SLAM) by utilizing an improved Square Root Unscented Kalman Filter (SRUKF). With a monocular camera mounted on the top of a mobile robot and looking upward to the ceiling, the robot only needs to process salient features, which greatly reduce the
Jun Liu 0060, Haoyao Chen, Baoxian Zhang
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Square-Root Unscented Kalman Filtering Based Localization and Tracking in the Internet of Things
2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, 2012The Internet of Things (IoT), which is usually established over architectures of wireless sensor networks, provides an actual platform for various applications of personal and ubiquitous computing. Recently, moving target localization and tracking in an IoT environment have been paid more and more attention.
Junqi Guo +3 more
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