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Synchronization of Chaotic Gyro Systems via Sliding Mode Control with Cooperative Weights Neural Network
Abstract:
In this paper, a sliding mode control (SMC) with a cooperative weights neural network (CWNN) is proposed to realize the synchronization of two chaotic Gyro systems with nonlinear uncertainties and external disturbances. By the Lyapunov stability method, the overall closed-loop system is shown to be stable and chaos synchronizationis obtained. The simulation results demonstrate the effectiveness of the proposed control method.
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1101-1104
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September 2013
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© 2013 Trans Tech Publications Ltd. All Rights Reserved
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