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This paper presents an adaptive sliding mode control scheme for the synchronization of two chaotic nonlinear gyros subject to uncertainties and external disturbances with the rotary sliding surface. The sliding surface is determined inspired by the localized generalization error. A three-layer neural network is employed to approximate the uncertainty and disturbance as the uncertainty observer. The numerical results demonstrate the efficiency of the proposed scheme to synchronize the chaotic gyro systems using a single control input.
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on (Volume:6 )
Date of Conference: 11-14 July 2010