Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning. [PDF]
Sci RepKnox J, Blyth M, Hales A.
europepmc +1 more source
Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities
The World Economy, EarlyView.ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán +2 more
wiley +1 more source
How Not to Make the Joint Extended Kalman Filter Fail with Unstructured Mechanistic Models. [PDF]
Sensors (Basel)Iglesias CF, Bolic M.
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Vector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.This study is concerned with the application of consensus control to a class of discrete‐time nonlinear multi‐agent systems with unknown inputs and additive noise. The aim is to design an extended Kalman unknown input observer (EKUIO) such that the state vector of a discrete‐time nonlinear system can be estimated, additive noise can be mitigated, and ...
Yan Ren +3 more
wiley +1 more source
An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss Optimization. [PDF]
Sensors (Basel)Eang C, Lee S.
europepmc +1 more source
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT We present an efficient multi‐object map‐matching approach for scene modeling in the context of automated driving. The mapping of traffic participants to the road topology is a key component of the scene modeling step in the processing pipeline for situation‐aware automated driving.
Maximilian Gerwien, Klaus Röbenack
wiley +1 more source
A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets. [PDF]
Sensors (Basel)Edrisi S +3 more
europepmc +1 more source
LPV Updates for Sequentially Linearized Moving Horizon Estimation of Nonlinear Systems
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT Moving horizon estimation (MHE) provides high‐precision state estimation for nonlinear systems, but it is often limited by the substantial computational demands of solving a nonlinear optimization problem at every sampling step. To address this issue, we develop an efficient MHE scheme based on linear parameter‐varying (LPV) formulation, where
Jiaxin Ji +3 more
wiley +1 more source
Thermal Ablation Therapy Control with Tissue Necrosis-driven Temperature Feedback Enabled by Neural State Space Model with Extended Kalman Filter. [PDF]
Rep U SMurakami R, Mori S, Zhang HK.
europepmc +1 more source
Drew Rothrock's Fundamental Contributions to Arctic Science
Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.Abstract David Andrew (Drew) Rothrock III lived during a period of vigorous scientific research in the Earth Sciences, from the International Geophysical Year to the era of satellites and high‐speed computer modeling. Drew made fundamental contributions to Arctic science, helping to lay the theoretical foundations for modeling the movement and ...
Harry L. Stern +4 more
wiley +1 more source