Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Papers
State Estimation by Using Particle Filter based on Quantized Outputs
Toshiharu SugieTetsuya Masuda
Author information
JOURNALS FREE ACCESS

2011 Volume 24 Issue 1 Pages 16-22

Details
Abstract

This paper considers the state estimation problem for nonlinear systems based on the quantized outputs. This problem plays an important role in achieving higher control performance when we use low-resolution sensors or networked control systems. First, the problem is formulated in a general setting, which could deal with a broad class of nonlinear systems in the presence of non-Gaussian noises. Second, it is proposed to apply the particle filter, which does not depend on linearity of the target systems nor Gauss noises, for the state estimation subject to quantized outputs. Numerical examples are given to demonstrate its effectiveness, where it is also shown how to deal with a class of uncertainty of the target systems.

Information related to the author
© 2011 The Institute of Systems, Control and Information Engineers
Previous article
feedback
Top