@inproceedings{baf64b56a61147f0a9aa6f8166935cc3,
title = "Parameter estimation method for coupled tank system using Dual Extended Kalman filter",
abstract = "In this paper, we propose the estimation method for the parameter of dynamic system using Dual Extended Kalman filter. When state is unavailable, the dual extended kalman filter is available. And it is widely used in simultaneously estimating the state and parameter of dynamic systems. The dynamic system in this paper is Coupled Tank. And then the estimating parameters are the orifice coefficients of system. In order to analyze the performance for the parameter estimation, we implemented the computer simulation and compared the results of the dual extended kalman filter and the extended kalman filter. As per the results, the performance of dual kalman filter showed better results than that the performance of extended kalman filter.",
keywords = "Dual extended kalman filter, Nonlinear system, Parameter estimation",
author = "Seung, \{Ji Hoon\} and Lee, \{Deok Jin\} and Chong, \{Kil To\}",
year = "2013",
doi = "10.1109/ICCAS.2013.6704176",
language = "English",
isbn = "9788993215052",
series = "International Conference on Control, Automation and Systems",
pages = "1223--1228",
booktitle = "ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems",
note = "2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 ; Conference date: 20-10-2013 Through 23-10-2013",
}