Results 41 to 50 of about 1,473,129 (216)

Adaptive Measurement Noise for Robust Kalman Filtering in Smart Beehive Telemetry

IEEE Access
Honeybee 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, Navod Neranjan Thilakarathne, Jamil Abedalrahim Jamil Alsayaydeh, Rex Bacarra, Rostam Affendi Hamzah   +4 more
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients

IET Control Theory & Applications
This article presents a novel approach for adaptive nonlinear state estimation in a modified autoregressive time series with fixed coefficients, leveraging an adaptive polynomial Kalman filter (APKF).
Dileep Sivaraman, Songpol Ongwattanakul, Branesh M. Pillai, Jackrit Suthakorn   +3 more
doaj   +1 more source

On the optimality of subband adaptive filters [PDF]

, 1999
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an ...
Weiss, Stephan, S. Weiss, Weiss, S., R.W. Stewart, Stewart, R.W., Stewart, Robert   +5 more
core   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

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, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Analogue Adaptive Filters Using Wave Synthesis Technique

, 2004
This paper describes new analogue adaptive filters based on wave synthesis technique. To facilitate simple adaptation process and stability checks, adaptive series and parallel wave adaptors with only one variable coefficient are developed including a ...
Xie, Yan, Al-Hashimi, Bashir
core   +1 more source

Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter

Sensors, 2018
This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems.
Bingbing Gao, Gaoge Hu, Shesheng Gao, Yongmin Zhong, Chengfan Gu   +4 more
doaj   +1 more source

Adaptive equalisation in oversampled subbands [PDF]

, 1998
The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long filters, which can have slow convergence for LMS-type adaptive algorithms.
Nandi, A.K., S. Weiss, Dooley, S., Nandi, A. K., R.W. Stewart, Stewart, R.W., Dooley, S. R., A.K. Nandi, Dooley, Saul, Weiß, S., Dooley, S.R., Weiss, Stephan, Asoke, Nandi, S.R. Dooley, Stewart, R. W., Stewart, Robert   +15 more
core   +1 more source

Reconfigurable Design and Optimization‐Based Control of an Integrated Leg‐Arm Robot for Space Applications With an Underactuated Body

Advanced Intelligent Systems, EarlyView.
A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang, Kun Xu, Shutao Wu, Haoyuan Liu, Bochao Song, Jiawei Chen, Peijin Zi, Tao Zhang, Xilun Ding   +8 more
wiley   +1 more source

An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering

Sensors, 2020
The ultra-short baseline underwater positioning is one of the most widely applied methods in underwater positioning and navigation due to its simplicity, efficiency, low cost, and accuracy.
Qinghua Luo, Xiaozhen Yan, Chunyu Ju, Yunsai Chen, Zhenhua Luo   +4 more
doaj   +1 more source