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Fuzzy Synchronization of Chaotic Systems Based on Genetic Algorithm
Abstract:
We consider the synchronization problem of chaotic systems with uncertainties. We apply the fuzzy method to solve this problem, and the parameters of membership function are optimized by genetic algorithm, so that we can get the appropriate values for those parameters, and improve the ability of fuzzy controller. We carry out the simulations of synchronizing Henon chaotic systems with uncertainties, and the results show the effectiveness of this method.
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3809-3814
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Online since:
May 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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