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来源类型Article
规范类型其他
DOI10.1016/S1474-6670(17)54838-7
Combined Filtering and Parameter Estimation for Discrete-time Systems Driven by Approximately White Gaussian Noise Disturbances.
Runggaldier W; Visentin C
发表日期1988
出处IFAC Proceedings Volumes 21 (9): 869-872
出版年1988
语种英语
摘要We consider a partially observable, discrete-time process{xt, θt, yt} over a finite horizon T, where the unobservable components are {xt, θt}. Conditionally on {θt}, the pair {xt}, {yt} satisfies a linear model of the form (1) below; {θt} itself evolves according to a given joint a-priori distribution p(θ0,…, θT), The purpose of the paper is to determine recursively the joint conditional distribution p(xt, θt|yt), (yt: = {y0,…,yt}), or, more specifically, E{f(xt, θt)|yt}, namely the (mean squre)optimal filter for a given When θtis constant our problem becomes that of the combined filtering and parameter estimation.
关键词Adaptive systems Bayes methods Discrete time systems Nonlinear filtering Parameter estimation Robust procedures
URLhttp://pure.iiasa.ac.at/id/eprint/14725/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127030
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GB/T 7714
Runggaldier W,Visentin C. Combined Filtering and Parameter Estimation for Discrete-time Systems Driven by Approximately White Gaussian Noise Disturbances.. 1988.
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