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.
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.
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.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
实验的自变量是图形的离散度参数，因变量是单位时间图形信号的视觉通道信息传递量。
The experimental variable was the dispersion of polygons, and the dependent variable was the rate of visual information transfer.
本文主要研究了一类同时具有时变参数不确定性和外部干扰输入的离散线性系统有限时间状态稳定性问题，用线性矩阵不等式给出问题可解的充分条件。
In this paper finite-time control problem for one kind of linear discrete-time linear system subject to time-varying parametric uncertainties and exogenous disturbances is studied.
本文主要研究了一类同时具有时变参数不确定性和外部干扰输入的离散线性系统有限时间状态稳定性问题，用线性矩阵不等式给出问题可解的充分条件。
In this paper finite-time control problem for one kind of linear discrete-time linear system subject to time-varying parametric uncertainties and exogenous disturbances is studied.
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