Results 81 to 90 of about 24,887 (253)

An Invariant Filtering Method Based on Frame Transformed for Underwater INS/DVL/PS Navigation

open access: yesJournal of Marine Science and Engineering
Underwater vehicles heavily depend on the integration of inertial navigation with Doppler Velocity Log (DVL) for fusion-based localization. Given the constraints imposed by sensor costs, ensuring the optimization ability and robustness of fusion ...
Can Wang   +5 more
doaj   +1 more source

An observation‐driven state‐space model for claims size modelling

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn   +2 more
wiley   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

open access: yesEnergy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei   +2 more
wiley   +1 more source

Czekanowsky Hypergraph-Based Deep Learning Classifier for Precision Cyclone Forecasting

open access: yesIEEE Access
Early prediction of cyclones helps reduce deaths and damage to properties worldwide. With the advancement in satellite imaging technology, obtaining atmospheric images and remotely sensed objects such as cyclones is possible using different modalities ...
K. Rajesh   +9 more
doaj   +1 more source

Research on Collaborative Estimation of SOC and SOH for Lithium‐Ion Batteries Based on BS‐SRCKF‐DEKF

open access: yesEnergy Science &Engineering, EarlyView.
This paper presents a novel method for jointly estimating the state of charge (SOC) and state of health (SOH) in lithium‐ion battery systems. A second‐order hysteresis RC model and the BS‐SRCKF‐DEKF algorithm are used to improve estimation accuracy. Simulation and experimental results verify the method′s robustness and superior performance.
Meijin Lin, Haokun Lin, Jiehua Tan
wiley   +1 more source

Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF

open access: yesSatellite Navigation
Smartphone-based vehicle navigation has become the primary choice in everyday life due to low cost and real-time traffic updates. However, for vehicle navigation applications in the Global Navigation Satellite System (GNSS)-denied scenario such as ...
Long Qian   +7 more
doaj   +1 more source

A Comprehensive Review of Biotechnological Innovations in Valorization of Food Waste: Enhancing Nutritional, Techno‐Functional Properties, and Process Optimization for Sustainable Product Development

open access: yesFood Frontiers, EarlyView.
This review highlights recent biotechnological innovations in the valorization of food waste through enzyme‐assisted processing and microbial fermentation to enhance nutritional, techno‐functional, and shelf‐stable properties for developing sustainable, plant‐based functional foods and nutraceuticals.
Md. Sakhawot Hossain   +6 more
wiley   +1 more source

Optimized estimation of Li-ion battery parameters to improve the Enhanced Self-Correcting model with nonlinear least-squares data fitting and SoC estimation using Invariant EKF

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
In recent years, batteries have become increasingly important, especially lithium batteries. Battery modeling is essential for many applications, such as state-of-charge (SoC) estimation.
Yassine Derouech, Abdelouahed Mesbahi
doaj   +1 more source

Geometrically Intrinsic Nonlinear Recursive Filters I: Algorithms

open access: yes, 1998
The Geometrically Intrinsic Nonlinear Recursive Filter, or GI Filter, is designed to estimate an arbitrary continuous-time Markov diffusion process X subject to nonlinear discrete-time observations.
Darling, R. W. R.
core   +1 more source

Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]

open access: yes, 2015
The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David   +2 more
core  

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