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Adaptive fuzzy backstepping robust control for uncertain nonlinear systems based on small-gain approach

机译:基于小增益方法的不确定非线性系统自适应模糊反步鲁棒控制

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This paper proposes an adaptive fuzzy robust control method for SISO nonlinear systems with nonlinear uncertainties, unmodeled dynamics and dynamic disturbances. Fuzzy logic systems are used to approximate the nonlinear uncertainties, with no prior knowledge of their bounds. Based on the modeled nonlinear uncertainties using fuzzy logic systems, a stable adaptive fuzzy backstepping robust controller is proposed by combining the backstepping technique with the small-gain approach. It is mathematically proven that the proposed adaptive fuzzy control approach can guarantee that the closed-loop system is uniformly bounded. The effectiveness of the proposed approach is illustrated via two examples.
机译:针对具有非线性不确定性,无模型动力学和动态扰动的SISO非线性系统,提出了一种自适应模糊鲁棒控制方法。模糊逻辑系统用于近似非线性不确定性,而无需事先知道其范围。基于模糊逻辑系统建模的非线性不确定性,通过将反步技术与小增益方法相结合,提出了一种稳定的自适应模糊反步鲁棒控制器。数学上证明了所提出的自适应模糊控制方法可以保证闭环系统是均匀有界的。通过两个示例说明了所提出方法的有效性。

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