State Estimation of Fractional Order Network System Based on Modified Fractional Order Kalman Filter!

被引：0
|
作者：
Wang, Yi [1 ]
Sun, Yonghui [1 ]
Wei, Zhinong [1 ]
Sun, Guoqiang [1 ]
机构：
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing 210098, Jiangsu, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
基金：
中国国家自然科学基金;
关键词：
Adaptive compensation approach; Fractional Kalman filter; Data packet dropout; State estimation;
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：
Accurate state estimation is essential for the application of fractional order network system. In order to provide a more reliable state estimation method to address the inevitably data packet dropout problem of network control system, in this paper, a modified fractional order Kalman filter is developed by combining of the conventional fractional order Kalman filter and the proposed adaptive compensation approach. Simulation results are provided to demonstrate that the proposed method possesses much better estimation performances than the conventional fractional order Kalman filter.
引用
收藏
页码：112 / 116
页数：5
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