Square Root Unscented Kalman Filter With Modified Measurement for Dynamic State Estimation of Power Systems
Author:
Affiliation:
1. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China
2. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09733285.pdf?arnumber=9733285
Reference52 articles.
1. Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics
2. A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation
3. Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode
4. Robust Power System State Estimation With Minimum Error Entropy Unscented Kalman Filter
5. Maximum correntropy unscented filter
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