Adaptive fuzzy control for the stabilisation of chaotic systems Online publication date: Tue, 03-Mar-2020
by Hanene Medhaffar; Moez Feki; Nabil Derbel
International Journal of Automation and Control (IJAAC), Vol. 14, No. 2, 2020
Abstract: In this paper, we investigate the stabilisation of unstable periodic orbits of continuous time chaotic systems using adaptive fuzzy controllers. For this aim, we present a control method that can achieve the stabilisation of an unstable periodic orbit (UPO) without any knowledge of the system model. Thus, a fuzzy adaptive linear controller is proposed based on time-delay feedback approach to obtain one that achieves UPO stabilisation. Finally, we use reduced order sliding observer to estimate the necessary state for the controller construction. The efficiency of proposed methods is demonstrated using numerical simulations applied to Chua's system.
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