Robust synchronization of a class of uncertain chaotic neural networks

The robust synchronization of a class of uncertain chaotic neural networks with parameters perturbation and external disturbances is investigated in this paper. The time-delay feedback control term is introduced in the synchronization controller to achieve the robust synchronization of the drive-res...

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Bibliographic Details
Main Authors: Li Sheng, Huizhong Yang
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Chaos
Chaotic communication
Chaotic neural networks
Fault currents
Linear matrix inequalities
Linear matrix inequality
Lyapunov function
Robust synchronization
Robustness
Synchronization
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Summary:The robust synchronization of a class of uncertain chaotic neural networks with parameters perturbation and external disturbances is investigated in this paper. The time-delay feedback control term is introduced in the synchronization controller to achieve the robust synchronization of the drive-response structure of neural networks. Based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some sufficient conditions are established for the robust synchronization of the uncertain neural networks. An illustrative example is provided to show the effectiveness and feasibility of the proposed method and results.
DOI:10.1109/WCICA.2008.4594530