Identification of Distributed Parameter Systems Based on Sensor Networks and Multivariable Estimation Techniques

被引：0
作者：
Volosencu, Constantin [1 ]
机构：
[1] Politehn Univ Timisoara, Dept Automat & Appl Informat, Bd V Parvan 2, Timisoara 300223, Romania
来源：
PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIMULATION, MODELLING AND OPTIMIZATION | 2009年
关键词：
Wireless sensor networks; system identification; distributed parameter systems; neural networks; multivariable estimation techniques; auto-regression; heat distribution;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The domain of system identification may be developed today using the powerful tool represented by the intelligent sensor networks, placed in real distributed parameter systems. The sensor networks, as a "distributed sensor", allow the usage of multivariable estimation techniques, in different ways: classical linear methods of modelling or methods based on artificial intelligence for complex non-linear systems. The paper presents a short survey of some results obtained in the study of using of sensor networks with multivariable estimation techniques to estimate heat transfer in space.
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页码：187 / +
页数：2
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