Average State Observers for Large-Scale Network Systems

被引:16
|
作者
Sadamoto, Tomonori [1 ,2 ,3 ]
Ishizaki, Takayuki [1 ,3 ]
Imura, Jun-ichi [1 ,3 ]
机构
[1] Tokyo Inst Technol, Grad Sch Informat Sci & Engn, Dept Mech & Environm Informat, Tokyo, Japan
[2] Japan Soc Promot Sci, Tokyo 1020083, Japan
[3] Japan Sci & Technol Agcy, Saitama 3320012, Japan
来源
基金
日本科学技术振兴机构;
关键词
Large-scale systems; model reduction; observer design; MODEL-REDUCTION; DESIGN;
D O I
10.1109/TCNS.2016.2550866
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a novel observer, called the average state observer, for large-scale network systems. This observer estimates the average behavior of the system with an estimation error assurance. To design an average state observer with explicit consideration of the estimation error, we first derive a tractable representation of the estimation error system. On the basis of this representation, we provide a theoretical upper bound of the estimation error for the average state observer. As a result, a systematic procedure to design the average state observers with an estimation error assurance is presented. Finally, we show the efficiency of the average state observer through an example of spatially discretized thermal diffusion networks.
引用
收藏
页码:761 / 769
页数:9
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