Results 51 to 60 of about 4,548 (274)
Application of Analog Adaptive Filters for Dynamic Sensor Compensation [PDF]
, 2005 This paper investigates the application of analog adaptive techniques to the area of dynamic sensor compensation, of which there is little reported work in the literature. The case is illustrated by showing how the response of a load cell can be improved
White, Neil M. +2 more
core
A comparison of adaptive and conventional Kalman filters in a missle application [PDF]
, 1986 Includes bibliographical references (page 59)Kalman filters are used to obtain an estimate of a signal from a\ud set of noisy measurements. Conventional Kalman filters require\ud linear systems in which all variations in the process parameters are\ud ...
Sklar, Mary Margaret Krug
core +3 more sources
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Restauração de imagens via filtragem de Kalman e considerações sobre a avaliação da qualidade de imagens restauradas [PDF]
, 2003 Tese (doutorado) - Universidade Federal de Santa Catarina. Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.A presente tese trata da utilização de programação evolucionária (PE) em sistemas de restauração de imagens via filtragem de ...
Zampolo, Ronaldo de Freitas
core
Sequential linear filtering with non‐linear position and Doppler measurements for target tracking
IET Radar, Sonar & Navigation, 2022 For radar target tracking with non‐linear measurements, a sequential linear filtering method is proposed in this study, which includes a linear filter based on the position measurements and a linear sequential filter based on the range rate measurement ...
Ting Cheng, Lifu Li
doaj +1 more source
Adaptive Kalman filter for actuator fault diagnosis [PDF]
Automatica, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Simplex-directed partitioned adaptive filters [PDF]
, 1979 A new combination of mathe matical programming methods and partitioned adaptive filters is proposed for the simultaneous real-time estimation of the parameters and state of an unknown linear system.
Lamb, P. R., Westphal, L. C.
core +1 more source
Adaptive Measurement Noise for Robust Kalman Filtering in Smart Beehive Telemetry
IEEE AccessHoneybee colony monitoring generates multimodal, non-stationary telemetry streams that require reliable recursive state estimation with well-calibrated uncertainty for digital apiculture.
H. A. A. U. Ranasinghe +4 more
doaj +1 more source