Kalman Filtering for Multiple-Delay Wireless Network Systems

被引：0
作者：
Ren, Hongru [1 ]
Yao, Deyin [2 ]
Lu, Renquan [2 ]
Li, Hongyi [3 ]
机构：
[1] Univ Sci & Technol China, Dept Automat, Hefei 230026, Anhui, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangdong Key Lab IOT Informat Proc, Guangzhou 510006, Guangdong, Peoples R China
[3] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
来源：
2017 EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2017年
基金：
中国国家自然科学基金;
关键词：
Kalman filtering; wireless network systems; Riccati equations; OPTIMAL LINEAR-ESTIMATION; STOCHASTIC-SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with the problem of optimal state estimation for multi-delay wireless network systems with nonzero-mean processes and measurement deviation under multiple packet dropouts. The orthogonal projection principle and reorganized innovation analysis approach are used to address the proposed problem. m + 1 Riccati equations of same dimension are given to solve the Kalman filter parameters. Finally, an illustrative example is given to show the effectiveness of the proposed method.
引用
收藏
页码：196 / 201
页数：6
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