supported by the National Key Research and Development Program of China (Grant No. 2017YFB0103104);the Key Research and Development Program of Jiangsu Province (Grant No. BE2021006-2);the Innovation Project of New Energy Vehicle and Intelligent Connected Vehicle of Anhui Province,and the Foundation of State Key Laboratory of Automotive Simulation and Control (Grant No. 20201107)。
In this paper, a square root cubature particle filter approach was designed to estimate the state of charge of lithium-ion battery,which not only enhanced the numerical stability and guaranteed positive definiteness o...
This work was supported by the Fundamental Research Funds for the Central Universities of Hohai University(Grant No.2019B19414,2019B44914);the Natural Science Foundation of Jiangsu Province for the Youth(Grant No.BK20160853);Key Laboratory of Ministry of Education for Coastal Disaster and Protection,Hohai University(Grant No.202011);the National Natural Science Foundation of China(Grant No.11601151);the National Science Foundation of Zhejiang Province(Grant No.LY19A010003).
In this paper,matrix representations of the best spline quasi-interpolating operator over triangular sub-domains in S_(2)^(1)(△_(mn)^(2),and coefficients of splines in terms of B-net are calculated firstly.Moreover,b...
supported by the Ministry of Science and Technology,Taiwan[Grant No.MOST 108-2221-E-019-013]。
This paper evaluates the state estimation performance for processing nonlinear/non-Gaussian systems using the cubature particle lter(CPF),which is an estimation algorithm that combines the cubature Kalman lter(CKF)and...
This work is supported by National Natural Science Foundation of China under Grant No.41574069;The Major National Projects of China under Grant No.GFZX0301040303.
Nonlinear initial alignment is a significant research topic for strapdown inertial navigation system(SINS).Cubature Kalman filter(CKF)is a popular tool for nonlinear initial alignment.Standard CKF assumes that the sta...
Using the cubature points based triangular spectral element method and isoparametric mappings,we provide accuracy results for elliptic problems in non polyg-onal domains.Two regimes of convergence,associated to the bu...
Filtering is a recursive estimation of hidden states of a dynamic system from noisy measurements.Such problems appear in several branches of science and technology,ranging from target tracking to biomedical monitoring...
A new hybrid adaptive autoregressive moving average(ARMA)and functional link neural network(FLNN)trained by adaptive cubature Kalman filter(ACKF)is presented in this paper for forecasting day-ahead mixed short-term de...
the financial supports of the National Natural Science Foundation of China(No.61304113);the Fundamental Research Funds for the Central Universities,China(No.NS2018018);Qinglan Project of Jiangsu Province
Gas-path performance estimation plays an important role in aero-engine health management, and Kalman Filter(KF) is a well-known technique to estimate performance degradation. In previous studies, it is assumed that di...
Supported by the National Natural Science Foundation of China(No.61771006);the Open Foundation of Key Laboratory of Spectral Imaging Technology of the Chinese Academy of Sciences(No.LSIT201711D);the Outstanding Young Cultivation Foundation of Henan University(No.0000A40366);the Excellent Chinese and Foreign Youth Exchange Programme of China Science and Technology Association(2017CASTQNJL046)
Aiming at improving the estimation accuracy and real-time of nonlinear system with linear Gaussian sub-structure,a novel marginalized cubature Kalman filter is proposed in Bayesian estimation framework. Firstly,the ma...