控制器由增压速率控制器、增压极值控制器和功能控制器组成。
The controller is composed of a pressure increasing rate controller, a pressure increasing maximum value controller and a functional controller.
论文的主要结果有(1)对双速率采样系统，分别给出了基于状态空间模型和输入输出模型下的预测控制器的设计方法。
The main results are: (1) For a dual-rate sampled system, the design methods of predictive controller based on state-space model and input-output model are given respectively.
该视频控制器的以赫兹表示的最大刷新速率。
当DRNN预测下一时刻缓冲区中的信元数超过阈值时，控制器产生一个反馈控制信号减小信源进入网络的信元速率以避免拥塞发生。
When DRNN predicts that the number of cells in buffer exceeds the threshold limit in the next time cycle, a control signal is generated by the controller to throttle arrival cell rate.
同时还进行了可编程序控制器扫描周期与通讯速率和稳定性的关联性研究。
Meanwhile, research about the relationship between scan circle of programmable logic controller and communication performance has been put up.
该雷达控制器则设置成根据脉冲信 号的特征频率修改重复速率。
The radar controller is then arranged to modify the repetition rate in dependence on the characteristic frequency of the pulsed signal.
介绍了一种环轧过程最优控制器的设计方法，该控制器可以使压力辊按要求的进给速率运动。
And also a rolling optimum controller, which keeps the mandrel feed in rate as requirement, is designed and relative formulas are given.
在将内部复位信号加到CPU的同时，提高由DRAM控制器所生成的用于刷新DRAM中数据的刷新信号的速率。
While the internal reset signal is being applied to the CPU, the rate of a refresh signal being generated by a DRAM controller for refreshing data in DRAM is increased.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
根据解析速率控制算法，把手控器的控制命令与激光视觉传感器的自主控制命令在人控制器中进行融合，控制焊枪的六个自由度。
According to resolved-rate algorithm, the control commands of hand controller and laser vision sensor are summed in robot controller to control the 6 degree of freedom respectively.
使用常规pid控制很难满足手指精确位置控制的要求，而采用依据BPNN原理设计成的常规单神经元pid控制器又因学习速率低，收敛速度慢，控制效果不能令人满意。
But if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and speed of convergence are slow.
使用常规pid控制很难满足手指精确位置控制的要求，而采用依据BPNN原理设计成的常规单神经元pid控制器又因学习速率低，收敛速度慢，控制效果不能令人满意。
But if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and speed of convergence are slow.
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