Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks

Abstract In this paper, we use a hybrid feedback control method to study lag synchronization in uncertain drive-response dynamical networks with a feature that the unknown system parameter exists in the node dynamics. We then design two hybrid feedback control methods to achieve the lag synchronizat...

Full description

Bibliographic Details
Main Authors: Hongming Liu, Weigang Sun, Ghada Al-mahbashi
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-017-1181-7
id doaj-7b80e0d914654118bad83ff148212542
record_format Article
spelling doaj-7b80e0d914654118bad83ff1482125422020-11-24T21:33:54ZengSpringerOpenAdvances in Difference Equations1687-18472017-04-012017111110.1186/s13662-017-1181-7Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networksHongming Liu0Weigang Sun1Ghada Al-mahbashi2Department of Mathematics, School of Science, Hangzhou Dianzi UniversityDepartment of Mathematics, School of Science, Hangzhou Dianzi UniversitySchool of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia UKMAbstract In this paper, we use a hybrid feedback control method to study lag synchronization in uncertain drive-response dynamical networks with a feature that the unknown system parameter exists in the node dynamics. We then design two hybrid feedback control methods to achieve the lag synchronization including the linear and adaptive feedback control. With the designed controllers and update laws for the system parameter in the node dynamics, we obtain two theorems on the lag synchronization based on the LaSalle invariance principle. When the lag synchronization is achieved, we identify the unknown system parameter. Finally, we provide two numerical examples to verify the efficiency of the proposed control schemes.http://link.springer.com/article/10.1186/s13662-017-1181-7lag synchronizationuncertain networkparameter identification
collection DOAJ
language English
format Article
sources DOAJ
author Hongming Liu
Weigang Sun
Ghada Al-mahbashi
spellingShingle Hongming Liu
Weigang Sun
Ghada Al-mahbashi
Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
Advances in Difference Equations
lag synchronization
uncertain network
parameter identification
author_facet Hongming Liu
Weigang Sun
Ghada Al-mahbashi
author_sort Hongming Liu
title Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
title_short Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
title_full Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
title_fullStr Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
title_full_unstemmed Parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
title_sort parameter identification based on lag synchronization via hybrid feedback control in uncertain drive-response dynamical networks
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2017-04-01
description Abstract In this paper, we use a hybrid feedback control method to study lag synchronization in uncertain drive-response dynamical networks with a feature that the unknown system parameter exists in the node dynamics. We then design two hybrid feedback control methods to achieve the lag synchronization including the linear and adaptive feedback control. With the designed controllers and update laws for the system parameter in the node dynamics, we obtain two theorems on the lag synchronization based on the LaSalle invariance principle. When the lag synchronization is achieved, we identify the unknown system parameter. Finally, we provide two numerical examples to verify the efficiency of the proposed control schemes.
topic lag synchronization
uncertain network
parameter identification
url http://link.springer.com/article/10.1186/s13662-017-1181-7
work_keys_str_mv AT hongmingliu parameteridentificationbasedonlagsynchronizationviahybridfeedbackcontrolinuncertaindriveresponsedynamicalnetworks
AT weigangsun parameteridentificationbasedonlagsynchronizationviahybridfeedbackcontrolinuncertaindriveresponsedynamicalnetworks
AT ghadaalmahbashi parameteridentificationbasedonlagsynchronizationviahybridfeedbackcontrolinuncertaindriveresponsedynamicalnetworks
_version_ 1725951301321228288