当白噪声干扰方向控制器时，可以用采样数据建立时间序列的自回归模型。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
当白噪声干扰电流变传动器时，利用采样数据，建立时间序列的自回归模型。
When a white noise interferes with the device, a time series model, proposed as AR (autoregressive) model, is conducted by using the sampled experimental data.
采样控制系统中，所处理的信号是连续时间信号经采样后所得到的脉冲序列。
In the control system of sampling, signal to be dealt with is the pulse sequence after sampling from the continuous time signals.
在此基础上，加入多时间序列的融合算法可以将有效采样率成倍提高，精度也得到相应的改善。
Furthermore, on applying Time Fusion algorithm based on sampling sequence, the effective sampling rate can be multifoldly increased and the precision of result greatly improved.
并将该方法应用于15分钟和5分钟采样周期的实测交通流时间序列中，计算结果表明交通序列中含有混沌特性。
Then, we use this method into the real time series of traffic flow with sampling period of 15 and 5 minutes, the results indicate that there are chaos in the traffic flow.
并将该方法应用于15分钟和5分钟采样周期的实测交通流时间序列中，计算结果表明交通序列中含有混沌特性。
Then, we use this method into the real time series of traffic flow with sampling period of 15 and 5 minutes, the results indicate that there are chaos in the traffic flow.
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