Abstract
In this paper, an adaptive neural network H control is proposed to realize the synchronization of two Ghostburster neurons under external electrical stimulation. We first analyze the periodic and chaotic dynamics of individual Ghostburster neuron under different external electrical stimulations, then design a H controller via adaptive neural networks to synchronize two Ghostburster neurons and drive the slave neuron to act as the master one. Asymptotic synchronization can be obtained by proper choice of the control parameters. Simulation results demonstrate the effectiveness of the proposed control method.
Original language | English |
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Pages (from-to) | 230-238 |
Number of pages | 9 |
Journal | Neurocomputing |
Volume | 74 |
Issue number | 1-3 |
DOIs | |
Publication status | Published - 1 Dec 2010 |
Keywords
- Ghostburster
- H control
- Neural networks
- Synchronization
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence