Identification of Slowly Time-Varying System Using Legendre Basis Functions

被引：0
|
作者：
Asutkar, Vinayak G. [1 ]
Patre, Balasaheb M. [1 ]
Basu, T. K. [2 ]
机构：
[1] Shri Guru Gobind Singhji Inst Engn & Technol, Dept Instrumentat Engn, Nanded, India
[2] Indian Inst Technol, Dept Elect Engn, Kharagpur, West Bengal, India
来源：
2009 ANNUAL IEEE INDIA CONFERENCE (INDICON 2009) | 2009年
关键词：
Parameter estimation; System identification; Time-varying systems; TVARX model; Basis functions;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper deals with the identification of slowly time-varying system using Legendre basis functions. Physical phenomena exhibit time-varying behaviour for a number of reasons. To model these systems the models with time-dependent parameters are required. In this paper, the system with slowly varying parameters is considered for identification. The input to the time-varying system is chosen to be PRBS which is a frequency rich signal. Even for noisy case, results are found to be satisfactory.
引用
收藏
页码：509 / +
页数：2
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