Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses

This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNNs) with distributed delays and impulses. By using a new continuation theorem of the coincidence degree theory, the existence of antiperiodic solutions for QVSICNNs is obtained. By constructing a suita...

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Main Authors: Nina Huo, Yongkun Li
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/6420256
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author Nina Huo
Yongkun Li
author_facet Nina Huo
Yongkun Li
author_sort Nina Huo
collection DOAJ
description This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNNs) with distributed delays and impulses. By using a new continuation theorem of the coincidence degree theory, the existence of antiperiodic solutions for QVSICNNs is obtained. By constructing a suitable Lyapunov function, some sufficient conditions are derived to guarantee the global exponential stability of antiperiodic solutions for QVSICNNs. Finally, an example is given to show the feasibility of obtained results.
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institution Kabale University
issn 1076-2787
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publishDate 2018-01-01
publisher Wiley
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series Complexity
spelling doaj-art-fd49bb73ec2d4074a773a0fa7821b9322025-02-03T01:27:48ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/64202566420256Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and ImpulsesNina Huo0Yongkun Li1Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaDepartment of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaThis paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNNs) with distributed delays and impulses. By using a new continuation theorem of the coincidence degree theory, the existence of antiperiodic solutions for QVSICNNs is obtained. By constructing a suitable Lyapunov function, some sufficient conditions are derived to guarantee the global exponential stability of antiperiodic solutions for QVSICNNs. Finally, an example is given to show the feasibility of obtained results.http://dx.doi.org/10.1155/2018/6420256
spellingShingle Nina Huo
Yongkun Li
Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
Complexity
title Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
title_full Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
title_fullStr Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
title_full_unstemmed Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
title_short Antiperiodic Solutions for Quaternion-Valued Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses
title_sort antiperiodic solutions for quaternion valued shunting inhibitory cellular neural networks with distributed delays and impulses
url http://dx.doi.org/10.1155/2018/6420256
work_keys_str_mv AT ninahuo antiperiodicsolutionsforquaternionvaluedshuntinginhibitorycellularneuralnetworkswithdistributeddelaysandimpulses
AT yongkunli antiperiodicsolutionsforquaternionvaluedshuntinginhibitorycellularneuralnetworkswithdistributeddelaysandimpulses