理论分析表明，当系统状态初值漂移和系统参数扰动在一定范围内，迭代学习控制算法关于是鲁棒的。

Theoretical analysis indicates that iterative learning control algorithm is robust if initial shift and System parameter disturbance within limited bound.

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将模糊控制器用于交流伺服系统的控制，利用模糊控制不依赖于对象模型和鲁棒性强的优点来克服交流伺服系统中参数漂移、非线性和耦合等因素的影响。

A fuzzy controller is presented to conquer the effects of the parameter-float, non-linearity and coupling in AC servo system by using its independence on the model of objective and good robustness.

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