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Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter

https://doi.org/10.1109/tim.2020.2999757

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Robust Navigation for INS/GNSS/BPNS Integration Using Adaptive Weighted q -Rényi Kernel Mixture Correntropy Filter

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Secure Particle Filtering With Paillier Encryption-Decryption Scheme: Application to Multi-machine Power Grids

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Planning and Integration of a Multi-Robot Adaptive Charging Network for Voltage Regulation via Unscented Kalman Filter-Based Deep Reinforcement Learning

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A Background-Impulse Kalman Filter With Non-Gaussian Measurement Noises

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Unrolled Spatiotemporal Graph Convolutional Network for Distribution System State Estimation and Forecasting

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Variational Bayesian and Multikernel Correntropy-Based Unscented Kalman Filter for Battery SOC Estimation

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An Integrated Approach for Vehicle State Estimation Under Non-Ideal Conditions Using Adaptive Strong Tracking Maximum Correntropy Criterion EKF

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A Model-Free Kullback–Leibler Divergence Filter for Anomaly Detection in Noisy Data Series

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Centered error entropy Kalman filter with application to satellite attitude determination

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The INS/GPS integrated navigation based on autonomous underwater vehicle using modified extended Kalman filter

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Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction

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IMPACT STUDY OF SOLAR ENERGY ON POWER SYSTEM STATE ESTIMATION UTILIZING WEIGHTED LEAST SQUARE TECHNIQUE

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New dynamic error spectrum for performance evaluation

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Event-Triggered Forecasting-Aided State Estimation for Active Distribution System With Distributed Generations

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A KRR-UKF robust state estimation method for distribution networks

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A new dynamic state estimation method for distribution networks based on modified SVSF considering photovoltaic power prediction

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Fast Minimum Error Entropy for Linear Regression

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Maximum Correntropy with Variable Center Unscented Kalman Filter for Robust Power System State Estimation

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State Estimation within IED Based Smart Grid Using Kalman Estimates

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An Integrated Navigation Algorithm for Underwater Vehicles Improved by a Variational Bayesian and Minimum Mixed Error Entropy Unscented Kalman Filter

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Robust State Estimation of Power System Based on Unscented Kalman Filter with Fractional-Order Adaptive Generalized Cross Correlation Entropy

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Student’s t-Kernel-Based Maximum Correntropy Kalman Filter

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Enhanced GNSS Navigation Using a Centered Error Entropy Extended Kalman Filter in Non-Gaussian Noise Environments

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Centered Error Entropy-Based Sigma-Point Kalman Filter for Spacecraft State Estimation with Non-Gaussian Noise

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Analyzing the Effectiveness of State Estimation Strategies for Quadrotor Attitude Models

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Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation

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Aeroengine performance degradation prediction method considering operating conditions

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Performance Analysis of Minimum Error Entropy Algorithms with Kernel Width Adaptation

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