Abstract
This paper presents a novel fuzzy logic controller (FLC) equipped with an adaptive algorithm to achieve synchronization performance for tow fractional chaotic systems. By introducing the fuzzy control design and robustness tracking approach, a desired synchronization error can be attenuated to a prescribed level, even in the presence of the high level of uncertainties and noisy training data.
Based on recent works of Lin et al. about synchronization of uncertain fractional order chaotic systems, the main contribution of this work is to enhance the control system behavior using the numerical approximation method of Grünwald–Letnikov. Simulation results clearly showed the efficiency of the proposed control scheme.
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Khettab, K., Bensafia, Y., Ladaci, S. (2017). Robust Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Fractional Systems. In: Chadli, M., Bououden, S., Zelinka, I. (eds) Recent Advances in Electrical Engineering and Control Applications. ICEECA 2016. Lecture Notes in Electrical Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-319-48929-2_21
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