鉴于可视过去系统会跟踪你的方位和时间，它基本上是在随时随地地跟着你。
Because the system tracks your location and time, it essentially follows you wherever you go.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实现了用于方位角跟踪的电液伺服马达系统的控制，以及系统性能的在线实时测试。
The control of azimuth Angle of electrohydraulic servomotor system, and the on-line and real-time test of the system performance were realized.
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