Results 51 to 60 of about 2,929 (197)

Dynamic Stability Analysis of Multi‐Infeed Wind Power System With Composite Dynamic Short Circuit Ratio

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
A GEDMM is proposed to represent the MIWPS as multiple VSISs and model each of them as the VTDS2M whose unknown parameters are identified with the proposed hybrid optimized square root cubature Kalman filter (HOSRCKF). To solve the issues that the physical meanings of existing short circuit ratios (SCRs) are unclear and the critical values of existing ...
Mengxian Sun   +3 more
wiley   +1 more source

A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating

open access: yes, 2018
An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal   +3 more
core   +1 more source

A Novel Case of Practical Exponential Observer Using Extended Kalman Filter [PDF]

open access: yes, 2018
This technical note presents a case of practical exponential observer using extended Kalman filter (EKF) independent of certain restrictions, such as online check and estimation error of initial state.
Deng, Z   +10 more
core   +2 more sources

Inverse Cubature and Quadrature Kalman Filters

open access: yesIEEE Transactions on Aerospace and Electronic Systems
31 pages, 3 figures, 2 ...
Himali Singh   +2 more
openaire   +2 more sources

Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui   +3 more
wiley   +1 more source

A New Sparse Gauss-Hermite Cubature Rule Based on Relative-Weight-Ratios for Bearing-Ranging Target Tracking

open access: yesModelling and Simulation in Engineering, 2017
A new sparse Gauss-Hermite cubature rule is designed to avoid dimension explosion caused by the traditional full tensor-product based Gauss-Hermite cubature rule.
Lijun Peng, Xiaojun Duan, Jubo Zhu
doaj   +1 more source

RCKF Cooperative Navigation Algorithm for Tightly Coupled Vehicle Ad Hoc Networks Based on Huber M Estimation

open access: yesIEEE Access, 2021
As a core technology of cooperative navigation, relative position sensing is crucial for vehicle intelligent driving. It plays a key role in the cooperative positioning algorithm of vehicle ad hoc networks (VANETs).
Wei Sun, Jingzhou Liu
doaj   +1 more source

Iterated Posterior Linearization Smoother [PDF]

open access: yes, 2017
This note considers the problem of Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Sigma-point approximations to the general Gaussian Rauch-Tung-Striebel smoother are widely used methods to tackle ...
Garcia-Fernandez, Angel F   +2 more
core   +1 more source

BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks

open access: yesIET Signal Processing, Volume 2026, Issue 1, 2026.
This paper proposes a Kalman‐gain‐driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial‐of‐service (DoS), spoofing, and replay attacks. Unlike end‐to‐end neural filtering approaches such as KalmanNet that directly learn state estimators or implicitly approximate ...
Zijing Li   +7 more
wiley   +1 more source

Student’s t‐Kernel‐Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

open access: yesIET Signal Processing, Volume 2026, Issue 1, 2026.
The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley   +1 more source

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