Multiple models were set up to cover the parameter uncertainty of a discretetime 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。
2
Lastly, timbering parameter is studied by utilizing Artificial NeuralNetwork (ANN), and put forward using Discrete Element Method (DEM) to confirm 2nd support time.
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。
3
The parameter-variable structure controlling to discrete-time chaotic systems is studied.