Robust adaptive Unscented Kalman Filter with gross error detection and identification for power system forecasting-aided state estimation-Reference-Cited by-同舟云学术

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Robust adaptive Unscented Kalman Filter with gross error detection and identification for power system forecasting-aided state estimation

Published:2023-09 Issue:13 Volume:360 Page:10297-10336
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Zhang Zhenhui,Zhang Zhengjiang,Zhao Sheng,Li Quanfang,Hong Zhihui,Li Fuhua,Huang Shipei

Funder

Natural Science Foundation of Zhejiang Province

Zhejiang University

State Key Laboratory of Industrial Control Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computer Networks and Communications,Signal Processing,Control and Systems Engineering

Reference38 articles.

1. A new approach to linear filtering and prediction problems;Kalman;J. Basic Eng.,1960

2. New results in linear filtering and prediction theory;Kalman;J. Basic Eng.,1961

3. Digital synthesis of non-linear filters;Bucy;Automatica,1971

4. Unscented filtering and nonlinear estimation;Julier;Proc. IEEE,2004

5. Three-stage unscented Kalman filter for state and fault estimation of nonlinear system with unknown input;Xiao;J. Franklin Inst.,2017

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