第四章提出了一种具有良好实时性、自适应性、稳健性和准确性的滑块采样数据融合预估方法。
The fourth chapter presents the adaptive prediction theory with shift sampling method to speed up the measuring procedure.
最后，给出了采用迭代学习PID控制器时，液压机滑块位移与系统压力的仿真曲线以及实际应用时的采样曲线。
At last, the simulating and sampling position and pressure curves of the hydraulic system with the iterative learning PID controller are presented.
最后，右滑块移动，将缩放窗口的结束范围扩大或缩小1个采样间隔。
And finally, the right side slider moves, extending or reducing the range of the end of the zoom window by 1 sampling interval.
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