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Adaptive fuzzy control of a class of pure-feedback nonlinear systems by output feedback

机译:一类纯反馈非线性系统的输出反馈自适应模糊控制

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In this paper, adaptive fuzzy control is proposed for a class of nonlinear pure-feedback systems. Fuzzy logic systems are introduced to approximate the unknown nonlinear functions. The filtered signals are utilized to solve the algebraic loop problems encountered in the implementation of the usual controllers. Based on a newly developed approach that the observer gains can be assigned in an iterative manner the observer gains were obtained.An adaptive fuzzy output feedback backstepping control method is developed via the adaptive backstepping design. By employing Lyapunov synthesis, all the signals of the resulting closed-loop system are proven to be uniformly ultimately bounded by choosing the design parameters appropriately. Simulation results are provided to show show the effectiveness of the proposed approach.
机译:针对一类非线性纯反馈系统,提出了一种自适应模糊控制方法。引入模糊逻辑系统来近似未知的非线性函数。滤波后的信号用于解决在执行常规控制器时遇到的代数环路问题。基于一种新的方法,可以迭代地分配观察者增益,从而获得观察者增益。通过自适应反推设计,提出了一种自适应模糊输出反馈反推控制方法。通过采用李亚普诺夫合成,将所得的闭环系统的所有信号都被证明是一致最终通过适当地选择设计参数界定。仿真结果表明了该方法的有效性。

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