Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
H State Estimation for Linear Continuous-Time Systems Driven by Wiener and Poisson Processes
—Variational Approach
Gou Nakura
Author information
JOURNAL FREE ACCESS

2019 Volume 32 Issue 2 Pages 47-54

Details
Abstract

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.

Content from these authors
© 2019 The Institute of Systems, Control and Information Engineers
Next article
feedback
Top