Results 61 to 70 of about 306 (149)

Secure Dynamic State Estimation of WECS‐Based Networked Microgrids Against Historical Measurement Triggered DoS Attacks

open access: yesIET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu   +4 more
wiley   +1 more source

Maximum Correntropy Criterion Constrained Kalman Filter

open access: yes, 2017
Non-Gaussian noise may degrade the performance of the Kalman filter because the Kalman filter uses only second-order statistical information, so it is not optimal in non-Gaussian noise environments. Also, many systems include equality or inequality state
Seyed Fakoorian   +4 more
core   +1 more source

Quaternion MLP Neural Networks Based on the Maximum Correntropy Criterion

open access: yes, 2023
We propose a gradient ascent algorithm for quaternion multilayer perceptron (MLP) networks based on the cost function of the maximum correntropy criterion (MCC).
Tian, Xinyu, Zhang, Zuxuan, Wang, Gang
core  

A Student's T Distribution‐Based Filter Design for SINS/GNSS With Heavy‐Tailed Noise

open access: yesIET Electric Power Applications, Volume 19, Issue 1, January/December 2025.
To reduce the affection of outliers caused by heavy‐tailed noise, the noise model is constructed by the Student's T distribution rather than the Gaussian distribution, and the related probability density functions (PDF) are adaptively modelled as student's T PDFs with different DoF parameters.
Menghao Qian, Wei Chen, Ruisheng Sun
wiley   +1 more source

Passive Target Motion Analysis With Own‐Ship Location Uncertainty in the Presence of Non‐Gaussian Sensor Noise

open access: yesIET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh   +2 more
wiley   +1 more source

ℓ1${\ell }_1$ norm‐based recursive estimation for non‐linear systems with non‐Gaussian noises

open access: yesIET Control Theory &Applications, Volume 18, Issue 11, Page 1424-1434, July 2024.
This study presents the state estimation problem of discrete‐time nonlinear stochastic system with non‐Gaussian noise. To further improve estimation accuracy, a recursive nonlinear smoother is put forward on the basis of minimizing l1 norm of model errors.
Yuemei Qin, Jun Li, Shuying Li
wiley   +1 more source

Evaluation method for electromagnetic interference complexity of high voltage switch based on feature extraction and GCC‐GRU network

open access: yesHigh Voltage, Volume 9, Issue 3, Page 749-761, June 2024.
Abstract When some new‐type sensors are subjected electromagnetic interference (EMI), the traditional standard can no longer serve as the guidance for their EMI protection. Therefore, it is necessary to evaluate the complexity of the new sensing equipment's suffering from electromagnetic interference.
Wenchao Lu   +5 more
wiley   +1 more source

Cooperative Localization in Harsh Underwater Environment Based on the MC-ANFIS

open access: yesIEEE Access, 2019
In this paper, a new cooperative localization (CL) method for multiple autonomous underwater vehicles (AUVs) is proposed to address the problem of measurement outliers and communication packet loss caused by the harsh underwater environment.
Bo Xu   +3 more
doaj   +1 more source

Robust localisation methods based on modified skipped filter weighted least squares algorithm

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 6, Page 825-837, June 2024.
Robust localisation techniques that utilise distance observations to determine the location are focused upon. The modified skipped filter WLS methods are proposed to reduce the squared estimation bias of transformed distance estimate. Abstract Robust localisation techniques that utilise distance observations to determine the location are focused upon ...
Chee‐Hyun Park, Joon‐Hyuk Chang
wiley   +1 more source

A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

open access: yes, 2017
A general zero attraction (GZA) proportionate normalized maximum correntropy criterion (GZA-PNMCC) algorithm is devised and presented on the basis of the proportionate-type adaptive filter techniques and zero attracting theory to highly improve the ...
Yingsong Li   +3 more
core   +1 more source

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