本方法以实际系统的输入输出信号为依据，实现系统建模，用被控对象传递函数的逆作为串联控制器来对系统的动态特性进行控制。
Using the input and output signal, the method can model the system, and can control the dynamical property of the system with the inverse transfer function of the controlled object as the controller.
然后介绍了一种新的基于指定输入—输出空间的迭代学习控制思想，它即不需要对误差信号求导数，也不需要知道被控对象的对偶映射。
Then introduce a new theory of ILC based on prescribed input-output subspace, it requires neither derivatives of the error signals nor dual mapping.
这种控制器不依赖于被控系统的模型，采用当地信号实现控制，结构简单。
The controller does not depend on the model of power system. Using a local signal to realize its control, the structure of this controller is very simple.
该控制器由等效扰动信号、被控对象、对象模型、内模控制器、反馈滤波器及参考输入滤波器组成。
The PID controller is composed of the equivalent interference signal, the controlled objects, the object model, IMC, feedback filter and reference input filter.
考虑实际系统中信号传输通道的数量限制，本文中确定了以下步骤进行被测线路和被控发电机的选择。
Considering the number limit of signal transmit channels, the selection of line which is measured and generator which is controlled goes along following these steps in this paper.
利用温度传感器测到被控对象的温度信号与设定温度值进行PID调节，从而控制高频输出功率的大小。
Temperature sensor will be used to measure the temperature signal and build temperature for PID adjusting to realize the automatic output high frequency power.
提出了在网络传输信号的时间间隔内依据被控对象模型计算控制信号的开环控制方法，以减少对网络的使用。
The open-loop control method of computing control signal based on plant model at intervals of state signal through network is proposed for reducing the usage of the network.
本文着重讨论了在工艺上和理论上如何更准确、更灵敏、更快速、更及时和更经济地获取所需采集的信号，以及被控变量的可测和可控性。
This thesis emphasizes to discuss how to be more accuracy, more sensitiveness, more on time and more economies acquisition signal that need to be collected.
被控接收器接收遥控器的信号，然后控制现场设备的运行。
The latter receives the signal from the former, and controls the run of equipments on the spot.
本文经过重新定义增广误差信号，给出了有延时情况下线性时不变离散时间单输入单输出被控对象的模型参考自适应控制系统的超稳定性设计方法。
This paper presents a hyperstable scheme for designing discrete model reference adaptive control system for lineartime-invariant SISO plant, based on a redefined augmented error signal.
控制执行模块接收到控制信号后，通过触发无刷电机驱动转向机构，改变被控对象的行驶方向，从而实现避障。
Control signal was sent to Controlling Module. Brushless motor and steering component changed the steering Angle in order to avoid obstacles.
控制执行模块接收到控制信号后，通过触发无刷电机驱动转向机构，改变被控对象的行驶方向，从而实现避障。
Control signal was sent to Controlling Module. Brushless motor and steering component changed the steering Angle in order to avoid obstacles.
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