Results 91 to 100 of about 2,929 (197)

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

IET 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, Xinghua Liu, Gaoxi Xiao, Zhongmei Pan, Peng Wang   +4 more
wiley   +1 more source

Research on Active Collision Avoidance Control of Vehicles Based on Estimation of Road Surface Adhesion Coefficient

World Electric Vehicle Journal
In order to solve the problem that intelligent vehicle active collision avoidance systems have different decision-making results under different road conditions, the square-root cubature Kalman filtering algorithm is used to estimate the road adhesion ...
Hongxiang Wang, Jian Wang, Ruofei Du
doaj   +1 more source

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data

, 2012
A great improvement to the insight on brain function that we can get from fMRI data can come from effective connectivity analysis, in which the flow of information between even remote brain regions is inferred by the parameters of a predictive dynamical ...
Chen, H., Ding, J., Liao, W., Marinazzo, D., Stramaglia, S., Wu, G.   +5 more
core   +1 more source

Robust Dynamic State Estimation of Power System With Measurement Outliers Based on Parameterized Analytical Cubature Kalman Filter

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
Accurate state estimation is paramount for the smooth operation and management of power systems, significantly contributing to their safety, stability, and reliability. However, the presence of channel noise and outliers stemming from phasor measurement units renders the noise model a deviation from the Gaussian distribution. To mitigate this challenge,
Mingyang Liu, Yanxin Liu, Yi Wang, Venkata Dinavahi, Ze Gao   +4 more
wiley   +1 more source

Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance [PDF]

Hangkong bingqi
A strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering ...
Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
doaj   +1 more source

Computational intelligence approaches to robotics, automation, and control [Volume guest editors] [PDF]

, 2015
No abstract ...
Chen, Yi, Gu, Dongbing, Hu, Huosheng, Li, Yun, Xu, Peter, Zhang, Jun   +5 more
core  

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

IET 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, Shreya Das, Shovan Bhaumik   +2 more
wiley   +1 more source

Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems

International Journal of Cognitive Computing in Engineering
Optimization problems arise in diverse fields such as engineering, economics, and industry. Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been developed to solve these problems.
Zulkifli Musa, Zuwairie Ibrahim, Mohd Ibrahim Shapiai   +2 more
doaj   +1 more source

Motion Modelling and State Estimation for Ballistic Targets in Reentry Phase Based on Destination Information

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
A 3D motion model for the ballistic target in the reentry phase, which incorporates the extra information of destination constraint, is proposed. Based on the proposed 3D motion model, an augmented state estimation method is developed for ballistic target tracking, where the horizontal heading angle or the destination position is augmented into the ...
Changwei Gao, Keyi Li, Gongjian Zhou
wiley   +1 more source

Application of Spherical-Radial Cubature Bayesian Filtering and Smoothing in Bearings Only Passive Target Tracking

Entropy, 2019
In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively.
Wasiq Ali, Yaan Li, Zhe Chen, Muhammad Asif Zahoor Raja, Nauman Ahmed, Xiao Chen   +5 more
doaj   +1 more source