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...
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Online Access: | http://link.springer.com/article/10.1186/s13662-017-1181-7 |
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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 |