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Adaptive Backstepping Hybrid Fuzzy Sliding Mode Control for Uncertain Fractional-Order Nonlinear Systems Based on Finite-Time Scheme

机译:基于有限时间方案的不确定分数级非线性系统自适应BackStepping混合模糊滑模控制

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摘要

A fractional-order integral fuzzy sliding mode control scheme is proposed for a class of uncertain fractional-order nonlinear systems subject to uncertainties and external disturbances. First, in each step, a neuro-fuzzy network system is developed to approximate the uncertain nonlinear function existing in fractional-subsystem and a fractional sliding mode surface is presented. Second, based on the fractional Lyapunov stability theory and the finite-time stability theory, a fractional adaptive backstepping neuro-fuzzy sliding mode controller is designed to drive the state trajectories of fractional-order systems to the prescribed sliding mode surface. Meanwhile, the finite-time stability of the fractional-order closed-loop system is proved. At last, three numerical examples are given to illustrate the effectiveness of the proposed control method.
机译:提出了一类不确定性和外部干扰的一类不确定的分数阶非线性系统的分数级积分模糊滑模控制方案。首先,在每个步骤中,开发了一种神经模糊网络系统以近似于在分数子系统中存在的不确定非线性功能,并且呈现了分数滑动模式表面。其次,基于分数Lyapunov稳定性理论和有限时间稳定性理论,设计分数自适应反向梗地神经模糊滑模控制器被设计为将分数阶系统的状态轨迹驱动到规定的滑动模式表面。同时,证明了分数级闭环系统的有限时间稳定性。最后,给出了三个数值示例来说明所提出的控制方法的有效性。

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