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Adaptive fuzzy sliding-mode control for chaotic nonlinear systems with uncertainties based on fractional calculus

机译:基于分数微积分的不确定性的混沌非线性系统自适应模糊滑模控制

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In this paper, an adaptive fuzzy sliding-mode controller (AF-SMC) based on fractional calculus for uncertain chaotic nonlinear systems were proposed. Three fuzzy logic systems were designed to approximate the unknown system functions and the switching term of SMC, respectively. Stability of the closed-loop system was proved and adaptive laws for the tuned parameters were obtained by using Lyapunov arguments. Numerical simulations are done on the chaotic nonlinear gyroscope system and results show that the proposed fractional order controller is effective and feasible.
机译:本文提出了一种基于非线性混沌非线性系统的分数微积分的自适应模糊滑模控制器(AF-SMC)。三种模糊逻辑系统旨在分别近似于未知的系统功能和SMC的切换项。证明了闭环系统的稳定性,通过使用Lyapunov参数获得了调谐参数的自适应法律。在混沌非线性陀螺系统上进行数值模拟,结果表明,所提出的分数顺序控制器是有效可行的。

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