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A Scaled Spherical Simplex Filter (S3F) with a decreased n + 2 sigma points set size and equivalent 2n + 1 Unscented Kalman Filter (UKF) accuracy

Mechanical Systems and Signal Processing, 2022
Abstract The computational efficiency of a sampling based nonlinear Kalman filtering process is mainly conditional on the number of sigma/sample points required by the filter at each time step to effectively quantify statistical properties of related states and parameters.
Konstantinos G. Papakonstantinou   +2 more
openaire   +1 more source

Adaptive unscented Kalman filter (UKF) for acoustic emission (AE) source localization in noisy environment

SPIE Proceedings, 2013
ABSTRACT This paper proposes an adaptive Unscented Kalman Filter (UKF) algorithm for Acoustic Emission (AE) source localization in plate-like structures in noisy environments. Over all, the proposed approach consists of four main stages: 1) feature extraction, 2) sensor selection based on a binary hypothesis testing, 3) sensor weighting based on a well-
Ehsan Dehghan Niri   +2 more
openaire   +1 more source

The unscented Kalman filter (UKF)-based algorithm for regional frequency analysis of extreme rainfall events in a nonstationary environment

Journal of Hydrology, 2021
Abstract In regional frequency analysis, extreme rainfall patterns in a nonstationary environment are characterized by the time-dependent regional growth curves, in which location and scale parameters are the weighted values of at-site estimates from the sites within a homogeneous group.
openaire   +1 more source

Estimation of vehicle yaw rate and lateral motion for dynamic stability control using unscented Kalman filtering (UKF) approach

Michael Faraday IET International Summit 2015, 2015
The increasing demand for passenger safety and comfort has inspired to develop technologically sophisticated automobiles that provide improved vehicle handling. In automotive industry, current focus is on the development of active safety systems, which assist the driver in order to avoid critical situations. Unfortunately, some fundamental states which
S. Sen, A. Sutradhar, S. Chakraborty
openaire   +1 more source

An Application of the Simultaneous Localization and Mapping (SLAM) Method Based on the Unscented Kalman Filter (UKF) to a Reconfigurable Quadruped Robot with Crawling Locomotion

2018 International Conference on Reconfigurable Mechanisms and Robots (ReMAR), 2018
Motivated by availability of autonomous reconfigurable robots, we have developed a reconfigurable quadruped robot, Scorpio, which can perform crawling and rolling locomotion. In this paper, we present an approach to the simultaneous localization and mapping (SLAM) for the quadruped robot in crawling locomotion to achieve its autonomous operation in an ...
Takuma Nemoto   +4 more
openaire   +1 more source

Unscented Kalman Filter (UKF) and frequency analysis (FA) techniques used for fault detection, diagnosis and isolation (FDDI) in Heating Ventilation Air Conditioning systems (HVAC)-comparison results

2009 2nd Conference on Human System Interactions, 2009
Monitoring and controlling the modern and sophisticated Heating Ventilation Air Conditioning (HVAC) building systems under a wide variety of occupancy and load related operating conditions represents a difficult and challenging task. Their complexity drastically increases and the control becomes more difficult task due to the several control loops that
Nicolae Tudoroiu   +4 more
openaire   +1 more source

Adaptive time-step unscented kalman filtering (ATS-UKF) based observer design for urea selective catalytic reduction (SCR) performance of diesel engines

Journal of Hazardous Materials
To reduce the number of sensors in the SCR catalyst, state feedback and fault diagnosis information are provided. Firstly, a model based on the coupling of flow, heat transfer, and gas-solid phase catalytic reaction in the SCR system is investigated in this paper.
Wenlong, Liu   +5 more
openaire   +2 more sources

RNN-UKF: Enhancing Hyperparameter Auto-Tuning in Unscented Kalman Filters through Recurrent Neural Networks

2024 27th International Conference on Information Fusion (FUSION)
Zhengyang Fan   +5 more
openaire   +1 more source

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