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控制理论和非线性滤波讨论班
A Non-Gaussian Bayesian Filter Using Power and Generalized Logarithmic Moments
A Non-Gaussian Bayesian Filter Using Power and Generalized Logarithmic Moments
组织者
演讲者
孙泽钜
时间
2022年12月13日 21:00 至 21:30
地点
Online
摘要
In this talk, I will discuss a paper about non-Gaussian Bayesian filter with generalized logarithmic moments. The generalized logarithmic moments are used to parameterize the state distribution together with the power moments. In the process, gradient methods are used to treat the optimization problem determining the parameters. The simulation results reveal the advantage of using both moments for estimating mixtures of complicated types of functions.