期刊
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷 44, 期 7, 页码 1200-1208出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2012.670309
关键词
state estimation; Kalman filtering; identification for control
类别
资金
- Mexican National Science and Technology Council (CONACyT) [129081, 129591]
This article presents the joint state filtering and parameter identification problem for uncertain stochastic nonlinear polynomial systems with unknown parameters in the state equation over nonlinear polynomial observations, where the unknown parameters are considered Wiener processes. The original problem is reduced to the filtering problem for an extended state vector that incorporates parameters as additional states. The obtained mean-square filter for the extended state vector also serves as the mean-square identifier for the unknown parameters. Performance of the designed mean-square state filter and parameter identifier is verified for both, positive and negative, parameter values.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据