Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
نویسندگان
چکیده
We propose an adaptive radial basis (RBF) neural network controller based on Lyapunov stability theory for uncertain fractional-order time-delay chaotic systems (FOTDCSs) with different time delays. The does not depend the system model and can achieve synchronous control under condition that nonlinear uncertainties external disturbances are completely unknown. Stability analysis showed error asymptotically tended to zero in combination relevant lemma. Numerical simulation results show effectiveness of controller.
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ژورنال
عنوان ژورنال: Fractal and fractional
سال: 2023
ISSN: ['2504-3110']
DOI: https://doi.org/10.3390/fractalfract7040288