Results 81 to 90 of about 2,929 (197)
A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy
Energy Science &Engineering, Volume 13, Issue 6, Page 2647-2662, June 2025.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
Orthogonal Simplex Chebyshev-Laguerre Cubature Kalman Filter Applied in Nonlinear Estimation Systems
Applied Sciences, 2018 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
Advanced Photonics Research, Volume 6, Issue 4, April 2025.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
State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter
Energies, 2015 Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging.
Bizhong Xia +5 more
doaj +1 more source
Nonlinear Attitude Filtering: A Comparison Study [PDF]
, 2015 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
l1‐ATSXKF‐based state and bias estimation for non‐linear systems with non‐Gaussian process noise
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.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
A new algorithm for continuous-discrete filtering with randomly delayed measurements [PDF]
, 2016 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
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.The impetus of this work is to develop a more accurate filter, the Gaussian sum adaptive sparse grid quadrature filter, which can be applied to non‐linear non‐Gaussian systems. Based on the Gaussian sum filter framework, the sparse grid quadrature filter is used as a sub‐filter to complete the filtering, and a weighting function is created to ...
Chen Qian +3 more
wiley +1 more source
, 2018 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
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Markov cubature rules for polynomial processes
, 2019 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