Separable Identification of Continuous-Time Systems Having Multiple Unknown Time Delays from Sampled Data

被引：0
|
作者：
Ghoul, Y. [1 ]
Taarit, Ibn K. [2 ]
Ksouri, M. [2 ]
机构：
[1] Tunis EI Manar Univ, Natl Engn Sch Tunis, Anal Concept & Control Syst Lab LACCS LR11ES20, Tunis 1002, Tunisia
[2] Tunis EI Manar Univ, Natl Engn Sch Tunis, Anal Concept & Control Syst Lab, BP 37, Tunis 1002, Tunisia
来源：
2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT) | 2016年
关键词：
time domain; multiple-input single-output systems; continuous-time systems; separable identification; unknown time delays; recursive Least Squares algortithm; Gauss-Newton algorithm; LEAST-SQUARES; MODELS;
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 treats the problem of continuous-time model identification with unknown time delays from sampled data. The proposed method estimates the plant and the time delays in a separable way. More precisely, the plant is estimated by the standard recursive Least Square algorithm while the time delays are explicitly estimated by the Gauss-Newton algorithm. This means clear separation between the system dynamics and time delays. Numerical simulations are given at last to illustrate the validity of the proposed scheme.
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页数：6
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