Abstract
This chapter deals with the control and synchronization of chaos where both of them are regarded as a case of a control problem. The proposed approach consists in using the sliding mode control theory. We first compare the pioneering OGY control method to the sliding mode control method. We next present a sliding surface design based on the Lyapunov theory. We show that for the class of chaotic systems that can be stabilized using a smooth feedback controller, a sliding manifold can be easily constructed using the Lyapunov function. Besides, we prove that the designed sliding surface is a stable manifold for the originally chaotic system. Thus, should the state behavior be confined to it, then the trajectory will slide towards the equilibrium. We also prove that the proposed controller is robust to mismatched parametric uncertainties. To diminish the effect of the unwanted chattering phenomenon resulting from high sliding gains, an adaptive sliding controller is finally designed to present a robust model independent controller that achieves stabilization of the equilibrium points as well as synchronization of two systems. All these results will be confirmed through numerical simulations on Rossler’s system.
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Feki, M. (2017). Sliding Mode Based Control and Synchronization of Chaotic Systems in Presence of Parametric Uncertainties. In: Vaidyanathan, S., Lien, CH. (eds) Applications of Sliding Mode Control in Science and Engineering. Studies in Computational Intelligence, vol 709. Springer, Cham. https://doi.org/10.1007/978-3-319-55598-0_2
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DOI: https://doi.org/10.1007/978-3-319-55598-0_2
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