Sampled-data synchronization control for chaotic neural networks subject to actuator saturation
In this paper, the sampled-data control is applied to synchronize chaotic neural networks subject to actuator saturation. By employing a time-dependent Lyapunov functional that captures the characteristic information of actual sampling pattern, we derive a local stability condition for the synchroni...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/52243 |
| _version_ | 1848758880835731456 |
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| author | Zeng, Hong-Bing Teo, Kok Lay He, Y. Xu, Honglei Wang, Wei |
| author_facet | Zeng, Hong-Bing Teo, Kok Lay He, Y. Xu, Honglei Wang, Wei |
| author_sort | Zeng, Hong-Bing |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, the sampled-data control is applied to synchronize chaotic neural networks subject to actuator saturation. By employing a time-dependent Lyapunov functional that captures the characteristic information of actual sampling pattern, we derive a local stability condition for the synchronization error systems. By this condition, we design a sampled-data controller to regionally synchronize the drive neural networks and response neural networks subject to actuator saturation. Moreover, an optimization method is given to design the desired sampled-data controller such that the set of admissible initial conditions is maximized. A numerical example is given to demonstrate the effectiveness and merits of the proposed design technique. |
| first_indexed | 2025-11-14T09:51:01Z |
| format | Journal Article |
| id | curtin-20.500.11937-52243 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:51:01Z |
| publishDate | 2017 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-522432017-09-13T15:48:50Z Sampled-data synchronization control for chaotic neural networks subject to actuator saturation Zeng, Hong-Bing Teo, Kok Lay He, Y. Xu, Honglei Wang, Wei In this paper, the sampled-data control is applied to synchronize chaotic neural networks subject to actuator saturation. By employing a time-dependent Lyapunov functional that captures the characteristic information of actual sampling pattern, we derive a local stability condition for the synchronization error systems. By this condition, we design a sampled-data controller to regionally synchronize the drive neural networks and response neural networks subject to actuator saturation. Moreover, an optimization method is given to design the desired sampled-data controller such that the set of admissible initial conditions is maximized. A numerical example is given to demonstrate the effectiveness and merits of the proposed design technique. 2017 Journal Article http://hdl.handle.net/20.500.11937/52243 10.1016/j.neucom.2017.02.063 Elsevier BV restricted |
| spellingShingle | Zeng, Hong-Bing Teo, Kok Lay He, Y. Xu, Honglei Wang, Wei Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title | Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title_full | Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title_fullStr | Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title_full_unstemmed | Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title_short | Sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| title_sort | sampled-data synchronization control for chaotic neural networks subject to actuator saturation |
| url | http://hdl.handle.net/20.500.11937/52243 |