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In this article, a novel sliding mode control is proposed for synchronization of two fractional order chaotic systems. The proposed method uses the Radial Basis Function Neural Network(RBFNN) and proportional-integral(PI) parallel control to replace the traditional switching law of adaptive sliding mode control(ASMC). The advantages of the control method are as follows: firstly, the continuous nonlinear...
This article investigates the control problem of rejection and tracking unknown sinusoidal signals for linear timeinvariant systems. The derived controller is in terms of state-derivative feedback since the derivative of the state rather than the state can be directly measured in some cases. Meanwhile, in order to reject and track the unknown sinusoidal signals simultaneously, we identify their models,...
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