Results 81 to 90 of about 2,942 (188)
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
Orthogonal Simplex Chebyshev-Laguerre Cubature Kalman Filter Applied in Nonlinear Estimation Systems
To further improve the filtering accuracy in nonlinear estimation systems, a nonlinear filter, called the orthogonal simplex Chebyshev-Laguerre cubature Kalman filter (OSCL-CKF), is proposed.
Zhuowei Liu +3 more
doaj +1 more source
Markov cubature rules for polynomial processes
We study discretizations of polynomial processes using finite state Markov processes satisfying suitable moment matching conditions. The states of these Markov processes together with their transition probabilities can be interpreted as Markov cubature ...
Filipović, Damir +2 more
core +2 more sources
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
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
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
Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian +2 more
core
Grid Based Nonlinear Filtering Revisited: Recursive Estimation & Asymptotic Optimality
We revisit the development of grid based recursive approximate filtering of general Markov processes in discrete time, partially observed in conditionally Gaussian noise.
Kalogerias, Dionysios S. +1 more
core +1 more source
In this article, hybrid probabilistic and geometric constellation shaping to enhance spectral efficiency in coherent optical communication systems, particularly under a Wiener phase noise channel, is investigated. By integrating a two‐stage phase search algorithm with digital signal processing and gradient descent, the method outperforms geometrically ...
Zhiyang Liu +5 more
wiley +1 more source
l1‐ATSXKF‐based state and bias estimation for non‐linear systems with non‐Gaussian process noise
To solve the problem of state and bias estimation for the nonlinear system with non‐Gaussian noise terms, combining the l1 norm and adaptive factors, a series of exogenous Kalman filters (XKF) based state and bias estimation algorithms are proposed. The simulation results show that the proposed algorithms can reduce the influence of the non‐Gaussian ...
Boyu Yang, Xueqin Chen, Fan Wu, Ming Liu
wiley +1 more source

