出处
《自动化学报》
EI
CSCD
北大核心
2017年第9期1636-1643,共8页
Acta Automatica Sinica
基金
This work was supported by the National Natural Science Foundation of China （51507015, 61773402, 61540037, 71271215, 61233008, 51425701, 70921001, 51577014）, the Natural Science Foundation of Hunan Province （2015JJ3008）, the Key Laboratory of Renewable Energy Electric-Technology of Hunan Province （2014ZNDL002）, and Hunan Province Science and Technology Program（2015NK3035）.
Expectation maximization （EM） algorithm, extended Kalman filtering （EKF） and smoothing, radial basis function（RBF） neural network, RBF-AR model
