Results 81 to 90 of about 7,374 (201)

The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error

IEEE Access
Although the Unscented Kalman Filter (UKF) generally outperforms the Extended Kalman Filter (EKF) due to its superior approximation of nonlinear state transition functions, the core Unscented Transform (UT) still cannot precisely capture complex ...
Ziran Luo, Chenglin Wen
doaj   +1 more source

Rao-Blackwellized particle smoothers for conditionally linear Gaussian models

, 2015
Sequential Monte Carlo (SMC) methods, such as the particle filter, are by now one of the standard computational techniques for addressing the filtering problem in general state-space models.
Bunch, Pete, Godsill, Simon J., Lindsten, Fredrik, Schön, Thomas B., Särkkä, Simo   +4 more
core   +1 more source

Exploring hymenopteran parasitoid communities and their hosts: A comparative study of farmland and semi‐natural ecotones with focus on pentatomoid bugs and their antagonists

Agricultural and Forest Entomology, Volume 28, Issue 1, Page 118-127, February 2026.
Farmland ecotones support high parasitoid diversity, despite lower arthropod richness compared to semi‐natural habitats. Farmland ecotones support high pentatomoid bug abundance, while pentatomoid parasitoids were equally abundant and diverse in both ecotones.
Lisa Obwegs, Elia Guariento, Ulrike Tappeiner, Martina Falagiarda, Andreas Hilpold   +4 more
wiley   +1 more source

Safety Considerations in Deployment of Robotic Systems – A Systematic Review

Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.
ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji, Segun E. Ibitoye, Rasheedat M. Mahamood, Olalekan A. Olayemi, Peter O. Omoniyi, Tien‐Chien Jen, Esther T. Akinlabi   +6 more
wiley   +1 more source

Multivariate Attention-Based Orbit Uncertainty Propagation and Orbit Determination Method for Earth–Jupiter Transfer

Applied Sciences
Current orbit uncertainty propagation (OUP) and orbit determination (OD) methods suffer from drawbacks related to high computational burden, limiting their applications in deep space missions.
Zhe Zhang, Yishuai Shi, Hongwei Han
doaj   +1 more source

Square-Root Sigma-Point Information Consensus Filters for Distributed Nonlinear Estimation

Sensors, 2017
This paper focuses on the convergence rate and numerical characteristics of the nonlinear information consensus filter for object tracking using a distributed sensor network.
Guoliang Liu, Guohui Tian
doaj   +1 more source

Improving Computational Efficiency of Prediction in Model-Based Prognostics Using the Unscented Transform [PDF]

, 2010
Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end of life (EOL).
Daigle, Matthew John, Goebel, Kai Frank
core   +2 more sources

Noise estimation and filtering method of MEMS gyroscope based on EMMAP

Journal of Measurement Science and Instrumentation, 2021
Aiming at the problems of low measurement accuracy, uncertainty and nonlinearity of random noise of the micro electro mechanical system（MEMS） gyroscope, a gyroscope noise estimation and filtering method is proposed, which combines expectation maximum（EM）
CHEN Guangwu, YU Yue, LI Wenyuan, LIU Hao   +3 more
doaj  

Sensitivity and Uncertainty Calculations in Support of the Noise Analysis of the TAPIRO Reactor [PDF]

EPJ Web of Conferences
In the framework of an assessment of the application of neutron noise methodologies to the TAPIRO reactor, sensitivity and uncertainty analyses on impacting nuclear data for this experimental reactor have been performed using the Serpent Monte Carlo code.
Aimetta Alex, Dulla Sandra
doaj   +1 more source

Vegetation Image as Bayesian Predictor for Radio Propagation in Complex Environments Using Unscented Transform

Journal of Microwaves, Optoelectronics and Electromagnetic Applications
Vegetation is considered a complex environment for analysis of scattering and attenuation in radio propagation phenomena. Satellite image processing can improve planning of radio systems with a vegetation attenuation predictor.
Alexandre J. F. Loureiro, Leonardo R.A.X. Menezes, Glaucio L. Ramos, Paulo T. Pereira, Mateus H. B. Rezende   +4 more
doaj   +1 more source