Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling
A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. Using linear matrix inequality (LMI) approach, some synchronization criteria are proposed to ensure the synchronization between two SCBNNs by constructing effecti...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/728606 |
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| _version_ | 1832559344054435840 |
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| author | Qiuxiang Bian Jinde Cao Jie Wu Hongxing Yao Tingfang Zhang Xiaoxu Ling |
| author_facet | Qiuxiang Bian Jinde Cao Jie Wu Hongxing Yao Tingfang Zhang Xiaoxu Ling |
| author_sort | Qiuxiang Bian |
| collection | DOAJ |
| description | A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. Using linear matrix inequality (LMI) approach, some synchronization criteria are proposed to ensure the synchronization between two SCBNNs by constructing effective controllers. Some numerical simulations are provided to illustrate the effectiveness of the theoretical results obtained in this paper. |
| format | Article |
| id | doaj-art-510eea1539c1485d988d600e2b6947f4 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-510eea1539c1485d988d600e2b6947f42025-02-03T01:30:18ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/728606728606Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative CouplingQiuxiang Bian0Jinde Cao1Jie Wu2Hongxing Yao3Tingfang Zhang4Xiaoxu Ling5Department of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaDepartment of Mathematics, Southeast University, Nanjing 210096, ChinaDepartment of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaDepartment of Mathematics, Jiangsu University, Zhenjiang 212003, ChinaDepartment of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang 212003, ChinaFaculty of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing 212096, ChinaA new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. Using linear matrix inequality (LMI) approach, some synchronization criteria are proposed to ensure the synchronization between two SCBNNs by constructing effective controllers. Some numerical simulations are provided to illustrate the effectiveness of the theoretical results obtained in this paper.http://dx.doi.org/10.1155/2013/728606 |
| spellingShingle | Qiuxiang Bian Jinde Cao Jie Wu Hongxing Yao Tingfang Zhang Xiaoxu Ling Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling Abstract and Applied Analysis |
| title | Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling |
| title_full | Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling |
| title_fullStr | Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling |
| title_full_unstemmed | Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling |
| title_short | Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling |
| title_sort | synchronization of switched complex bipartite neural networks with infinite distributed delays and derivative coupling |
| url | http://dx.doi.org/10.1155/2013/728606 |
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