Finite-Time Synchronizing Control for Chaotic Neural Networks
This paper addresses the finite-time synchronizing problem for a class of chaotic neural networks. In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. A simple high-gain observer is designed to track all the n...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/938612 |
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| _version_ | 1832548587160993792 |
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| author | Chao Zhang Qiang Guo Jing Wang |
| author_facet | Chao Zhang Qiang Guo Jing Wang |
| author_sort | Chao Zhang |
| collection | DOAJ |
| description | This paper addresses the finite-time synchronizing problem for a class of chaotic neural networks. In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. A simple high-gain observer is designed to track all the nonlinearities, unknown system functions, and disturbances. Then, a dynamic active compensatory controller is proposed and by using the singular perturbation theory, the control method can guarantee the finite-time stability of the error system between the master system and the slave system. Finally, two illustrative examples are provided to show the effectiveness and applicability of the proposed scheme. |
| format | Article |
| id | doaj-art-13d7cd007fb245828cc9a23a669127a3 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-13d7cd007fb245828cc9a23a669127a32025-02-03T06:13:39ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/938612938612Finite-Time Synchronizing Control for Chaotic Neural NetworksChao Zhang0Qiang Guo1Jing Wang2National Engineering Research Center of Advanced Rolling, University of Science and Technology Beijing, Beijing 100083, ChinaNational Engineering Research Center of Advanced Rolling, University of Science and Technology Beijing, Beijing 100083, ChinaNational Engineering Research Center of Advanced Rolling, University of Science and Technology Beijing, Beijing 100083, ChinaThis paper addresses the finite-time synchronizing problem for a class of chaotic neural networks. In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. A simple high-gain observer is designed to track all the nonlinearities, unknown system functions, and disturbances. Then, a dynamic active compensatory controller is proposed and by using the singular perturbation theory, the control method can guarantee the finite-time stability of the error system between the master system and the slave system. Finally, two illustrative examples are provided to show the effectiveness and applicability of the proposed scheme.http://dx.doi.org/10.1155/2014/938612 |
| spellingShingle | Chao Zhang Qiang Guo Jing Wang Finite-Time Synchronizing Control for Chaotic Neural Networks Abstract and Applied Analysis |
| title | Finite-Time Synchronizing Control for Chaotic Neural Networks |
| title_full | Finite-Time Synchronizing Control for Chaotic Neural Networks |
| title_fullStr | Finite-Time Synchronizing Control for Chaotic Neural Networks |
| title_full_unstemmed | Finite-Time Synchronizing Control for Chaotic Neural Networks |
| title_short | Finite-Time Synchronizing Control for Chaotic Neural Networks |
| title_sort | finite time synchronizing control for chaotic neural networks |
| url | http://dx.doi.org/10.1155/2014/938612 |
| work_keys_str_mv | AT chaozhang finitetimesynchronizingcontrolforchaoticneuralnetworks AT qiangguo finitetimesynchronizingcontrolforchaoticneuralnetworks AT jingwang finitetimesynchronizingcontrolforchaoticneuralnetworks |