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。

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

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最后，利用人工神经网络原理，对其支护参数进行了研究，并提出了利用离散元来确定二次支护时间的方法。

Lastly, timbering parameter is studied by utilizing Artificial NeuralNetwork (ANN), and put forward using Discrete Element Method (DEM) to confirm 2nd support time.

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研究了参数摄动离散时间线性系统在状态和控制向量均受到约束时的鲁棒性问题。

This paper studied the robustness problem of discrete-time system with parametric perturbations and whose state and control vectors are all constrained.

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