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In this paper, the sliding-mode lag synchronization control scheme is proposed based on the neural network to synchronize two different delayed chaotic systems. An integral delayed sliding surface is presented to design the sliding mode control. The lag synchronization controller is achieved by combining the RBF (radial basis function) neural network with sliding-mode control. Numerical simulations...
An improved GMDH-type neural network based on the reconstruction of phase space and its application to complex systems are proposed. The structure of the conventional GMDH (group method of data handling) neural network is fixed, and it is difficult to obtain the suitable threshold value and the output of the network is best in local. The new model of the GMDH-type neural network is improved in two...
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