Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays

Abstract This paper is concerned with the global fixed-time synchronization issue for semi-Markovian jumping neural networks with time-varying delays. A novel state-feedback controller, which includes integral terms and time-varying delay terms, is designed to realize the fixed-time synchronization...

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Main Authors: Wei Zhao, Huaiqin Wu
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-018-1666-z
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author Wei Zhao
Huaiqin Wu
author_facet Wei Zhao
Huaiqin Wu
author_sort Wei Zhao
collection DOAJ
description Abstract This paper is concerned with the global fixed-time synchronization issue for semi-Markovian jumping neural networks with time-varying delays. A novel state-feedback controller, which includes integral terms and time-varying delay terms, is designed to realize the fixed-time synchronization goal between the drive system and the response system. By applying the Lyapunov functional approach and matrix inequality analysis technique, the fixed-time synchronization conditions are addressed in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are provided to illustrate the feasibility of the proposed control scheme and the validity of theoretical results.
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spelling doaj.art-d3c707fe2e2344418f6f639699629b052022-12-21T18:39:07ZengSpringerOpenAdvances in Difference Equations1687-18472018-06-012018112110.1186/s13662-018-1666-zFixed-time synchronization of semi-Markovian jumping neural networks with time-varying delaysWei Zhao0Huaiqin Wu1School of Science, Yanshan UniversitySchool of Science, Yanshan UniversityAbstract This paper is concerned with the global fixed-time synchronization issue for semi-Markovian jumping neural networks with time-varying delays. A novel state-feedback controller, which includes integral terms and time-varying delay terms, is designed to realize the fixed-time synchronization goal between the drive system and the response system. By applying the Lyapunov functional approach and matrix inequality analysis technique, the fixed-time synchronization conditions are addressed in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are provided to illustrate the feasibility of the proposed control scheme and the validity of theoretical results.http://link.springer.com/article/10.1186/s13662-018-1666-zFixed-time synchronizationSemi-Markovian jumpingNeural networksTime-varying delay
spellingShingle Wei Zhao
Huaiqin Wu
Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
Advances in Difference Equations
Fixed-time synchronization
Semi-Markovian jumping
Neural networks
Time-varying delay
title Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
title_full Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
title_fullStr Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
title_full_unstemmed Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
title_short Fixed-time synchronization of semi-Markovian jumping neural networks with time-varying delays
title_sort fixed time synchronization of semi markovian jumping neural networks with time varying delays
topic Fixed-time synchronization
Semi-Markovian jumping
Neural networks
Time-varying delay
url http://link.springer.com/article/10.1186/s13662-018-1666-z
work_keys_str_mv AT weizhao fixedtimesynchronizationofsemimarkovianjumpingneuralnetworkswithtimevaryingdelays
AT huaiqinwu fixedtimesynchronizationofsemimarkovianjumpingneuralnetworkswithtimevaryingdelays