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.

引用

页数：6

共 50 条

[41] Identification of continuous-time systems with missing data
Pintelon, R.
Schoukens, J.
[J]. Conference Record - IEEE Instrumentation and Measurement Technology Conference, 1999, 2 : 1081 - 1085
[42] D-stability for linear continuous-time systems with multiple time delays
Mao, Wei-Jie
Chu, Jian
[J]. AUTOMATICA, 2006, 42 (09) : 1589 - 1592
[43] Tracking control with multiple input delays for continuous-time systems
Liu, Mei
Zhang, Huanshui
Duan, Guangren
Xu, Bugong
[J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 290 - 294
[44] Robust identification of continuous-time models with arbitrary time-delay from irregularly sampled data
Chen, Fengwei
Garnier, Hugues
Gilson, Marion
[J]. JOURNAL OF PROCESS CONTROL, 2015, 25 : 19 - 27
[45] GLOBAL IDENTIFICATION OF CONTINUOUS-TIME SYSTEMS WITH UNKNOWN NOISE COVARIANCE
TUGNAIT, JK
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1982, 28 (03) : 531 - 536
[46] Continuous-Time Model Identification of Time-Varying Systems Using Non-Uniformly Sampled Data
Johansson, Rolf
[J]. 2016 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2016,
[47] A Continuous-Time Linear System Identification Method for Slowly Sampled Data
Marelli, Damian
Fu, Minyue
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (05) : 2521 - 2533
[48] Maximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data
Gonzalez, Karen
Coronel, Maria
Carvajal, Rodrigo
Escarate, Pedro
Aguero, Juan C.
[J]. IFAC PAPERSONLINE, 2018, 51 (15): : 712 - 717
[49] IDENTIFICATION OF LINEAR AND NONLINEAR CONTINUOUS-TIME MODELS FROM SAMPLED-DATA SETS
TSANG, KM
BILLINGS, SA
[J]. JOURNAL OF SYSTEMS ENGINEERING, 1995, 5 (04): : 249 - 267
[50] Continuous-time model identification from sampled data: implementation issues and performance evaluation
Garnier, H
Mensler, M
Richard, A
[J]. INTERNATIONAL JOURNAL OF CONTROL, 2003, 76 (13) : 1337 - 1357

← 1 2 3 4 5 →