Multiple Model Estimation represented by Bayesian Networks

Yan Liang; Donghua Zhou; Quan Pan

Multiple Model Estimation represented by Bayesian Networks

Yan Liang, Donghua Zhou, Quan Pan

自动化学院

Tsinghua University

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

Multiple Model Estimation (MME) in hybrid systems, as a powerful approach to adaptive estimation, has been widely applied in a great deal of attention due to its unique power to handle problems with both structural and parametric uncertainties. In this paper, multiple well-known methods in MME are represented in the form of Bayesian Networks (BN), which is widely used in Artificial Intelligence. The following discusses imply that MME may be a special case of BN.

源语言	英语
页	863-866
页数	4
出版状态	已出版 - 2002
活动	Proceedings of the 4th World Congress on Intelligent Control and Automation - Shanghai, 中国期限: 10 6月 2002 → 14 6月 2002

会议

会议	Proceedings of the 4th World Congress on Intelligent Control and Automation
国家/地区	中国
市	Shanghai
时期	10/06/02 → 14/06/02

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{27ee686b52cb4d4f976e8935c3636623,

title = "Multiple Model Estimation represented by Bayesian Networks",

abstract = "Multiple Model Estimation (MME) in hybrid systems, as a powerful approach to adaptive estimation, has been widely applied in a great deal of attention due to its unique power to handle problems with both structural and parametric uncertainties. In this paper, multiple well-known methods in MME are represented in the form of Bayesian Networks (BN), which is widely used in Artificial Intelligence. The following discusses imply that MME may be a special case of BN.",

author = "Yan Liang and Donghua Zhou and Quan Pan",

year = "2002",

language = "英语",

pages = "863--866",

note = "Proceedings of the 4th World Congress on Intelligent Control and Automation ; Conference date: 10-06-2002 Through 14-06-2002",

}

TY - CONF

T1 - Multiple Model Estimation represented by Bayesian Networks

AU - Liang, Yan

AU - Zhou, Donghua

AU - Pan, Quan

PY - 2002

Y1 - 2002

N2 - Multiple Model Estimation (MME) in hybrid systems, as a powerful approach to adaptive estimation, has been widely applied in a great deal of attention due to its unique power to handle problems with both structural and parametric uncertainties. In this paper, multiple well-known methods in MME are represented in the form of Bayesian Networks (BN), which is widely used in Artificial Intelligence. The following discusses imply that MME may be a special case of BN.

AB - Multiple Model Estimation (MME) in hybrid systems, as a powerful approach to adaptive estimation, has been widely applied in a great deal of attention due to its unique power to handle problems with both structural and parametric uncertainties. In this paper, multiple well-known methods in MME are represented in the form of Bayesian Networks (BN), which is widely used in Artificial Intelligence. The following discusses imply that MME may be a special case of BN.

UR - http://www.scopus.com/inward/record.url?scp=0036945993&partnerID=8YFLogxK

M3 - 论文

AN - SCOPUS:0036945993

SP - 863

EP - 866

T2 - Proceedings of the 4th World Congress on Intelligent Control and Automation

Y2 - 10 June 2002 through 14 June 2002

ER -

Multiple Model Estimation represented by Bayesian Networks

摘要

会议

其它文件与链接

指纹

引用此