システム制御情報学会論文誌
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
論文
H State Estimation for Linear Continuous-Time Systems Driven by Wiener and Poisson Processes
—Variational Approach
Gou Nakura
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2019 年 32 巻 2 号 p. 47-54

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While H filtering theory for stochastic continuous-time systems driven by Poisson processes has been presented by B. Song et al.(2015), H smoothing theory for the systems and the relationship between H filtering and smoothing have not been yet fully investigated. In this paper, we study the H state estimation (filtering and smoothing) problems for a class of linear continuous-time systems driven by Wiener and Poisson processes on the finite time interval. In order to derive H state estimators, we adopt unified stochastic variational approach which has not been found in previous work by any other researchers.

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© 2019 The Institute of Systems, Control and Information Engineers
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