In this paper, the influence about system initial shift and system parameter disturbance on convergence of the algorithm is studied.

本文研究系统状态初值漂移和系统参数扰动对迭代学习控制算法收敛性的影响。

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The modelling inaccuracy and parameter drift in motor control, such as the stator and rotor resistance shift with temperature, act as the disturbance in the control system.

电机控制模型中的建模误差，以及系统运行中的参数漂移，诸如电机的定、转子电阻随着温度发生变化，相当于对所研究的控制系统加入了扰动。

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Multiple models were set up to cover the parameter uncertainty of a discrete time system with bounded disturbance and uncertain parameters.

对含有有界扰动和参数不确定性的离散时间被控对象建立多个辨识模型，覆盖被控对象的参数不确定性。

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