A dynamic state estimation method for integrated energy system based on radial basis kernel function

A dynamic state estimation method for integrated energy system based on radial basis kernel function

For state estimation (SE) of dynamic electro-thermal gas coupled systems, measurements usually assume that the measurement noise obeys a Gaussian distribution. The extended Kalman filter and the unscented Kalman filter (UKF) are some of the widely used estimation methods in SE. However, the measurem...

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書目詳細資料
Main Authors:	Chen, Tengpeng, Luo, Hongxuan, Foo, Eddy Yi Shyh, Amaratunga, Gehan A. J.
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2024
主題:	Engineering Non-Gaussian noise Radial basis kernel function
在線閱讀:	https://hdl.handle.net/10356/180352
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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