Results 51 to 60 of about 1,310 (144)
ABSTRACT This study introduces a novel calibration strategy for the linear Kalman filter (LKF) fusion application in condition monitoring, specifically utilizing accelerated aging data. Unlike the existing literature that often focuses on complex nonlinear Kalman filter variants, this research delves into the calibration of LKF.
Emre Genis, Duygu Bayram Kara
wiley +1 more source
Develops a joint SOH‐RUL estimation model suitable for LIBs. This method leverages the PatchTST model and novel dynamic weighted kernel MSE (DWKMSE) loss function, employing transfer learning techniques to estimate SOH and RUL across different batteries. ABSTRACT This study proposes a transfer learning estimation method based on dynamic weighted kernel
Kaiyi Zhang, Xingzhu Wang
wiley +1 more source
A new algorithm for continuous-discrete filtering with randomly delayed measurements [PDF]
This paper is a postprint of a paper submitted to and accepted for publication in IET Control Theory & Applications and is subject to Institution of Engineering and Technology Copyright.
Bhaumik, S, Date, P, Singh, A
core
Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem +3 more
wiley +1 more source
Tracking Extended Targets: Novel TPMB Filter Driven by Model and Data Collaboration
In most filtering algorithms involving measurement data association, handling the complex computations due to multiple hypotheses is necessary. This paper introduces a novel Trajectory Poisson Multi-Bernoulli (TPMB) filter for tracking extended targets ...
Yubin Zhou +4 more
doaj +1 more source
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes
ABSTRACT Recent advances in local models for point processes have highlighted the need for flexible methodologies to account for the spatial heterogeneity of external covariates influencing process intensity. In this work, we introduce tessellated spatial regression, a novel framework that extends segmented regression models to spatial point processes,
Nicoletta D'Angelo
wiley +1 more source
High-precision and consensus tracking of a long-range maneuvering target presents a significant challenge for unmanned aerial vehicles (UAVs) in complex denied environments.
Guangyu Yang +4 more
doaj +1 more source
A New Approach to Adaptive Signal Processing
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
core +2 more sources
A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy
Application of the type‐3 fuzzy logic system (T3‐FLS) for management of constant energy and a comparison with the type‐2 fuzzy logic system. ABSTRACT Despite direct current (DC) microgrids' benefits over alternating current microgrids, these systems confront several difficulties.
Man‐Wen Tian +7 more
wiley +1 more source
Nonlinear Attitude Filtering: A Comparison Study [PDF]
This paper contains a concise comparison of a number of nonlinear attitude filtering methods that have attracted attention in the robotics and aviation literature.
Mahony, R., Trumpf, J., Zamani, M.
core +1 more source

