所设计的多变量内模控制器能使系统稳定解耦，所得到的闭环系统根据开环系统时滞来描述。
All the stabilizing IMC controllers and the resulted closed-loop systems were characterized in terms of the open-loop system's time delays.
针对一类具有自衡特性的SISO系统，借助其开环阶跃输入稳态响应所提供的信息设计了一个新颖的PD型模糊控制器。
As for the SISO system with self-balance, a new PD fuzzy controller based on the steady response of its open loop step input is introduced.
通过ATMEL89C 51单片机对步进电机进行控制，主要介绍了步进电机控制器、驱动电路和LED显示电路的设计，实现了步进电机的开环控制。
The design using ATMEL89C51 single chip to control the step-motor with its controller, driving circuit and LED display circuit to realize step motor open-loop control were introduced.
以开环系统模糊关系模型为基础，讨论了模糊关系系统反馈控制器的设计。
Based on the fuzzy relational model of the open-loop system, the design of a fuzzy feedback controller is discussed.
因为模糊逻辑控制器的控制信号是由系统的响应行为而不是由其分析模型决定的，所以机器人的开环响应可以用一系列二阶系统来描述。
Because the signal processed by fuzzy controller is based on system behavior rather than its analytical model, open loop responses of a robot are described by a set of second order systems.
在模拟域，双位置控制器的主要部分是模拟比较器或开环运算放大器。
In the analog domain, the basis for the basic implementation of a two-position controller is an analog comparator or an open-loop operational amplifier.
然后，基于一系列线性矩阵不等式，得到了开环系统稳定的充分条件，进而又基于非二次PD C控制律，设计出了模糊控制器。
Then, a new sufficient condition for the stability of open-loop system is proposed based on linear matrix inequality (LMI); and a fuzzy controller is designed via non-quadratic PDC control law.
利用矩阵的谱范数估计，研究了连续T-S型模糊控制器的稳定性，给出模糊开环系统稳定的充分条件。
Based on 2 norm estimate of matrix, stability of T S type fuzzy controller is studied and several sufficient conditions of open loop system are proposed .
同时，控制器电路采用频率抖动技术来减小EMI和斜坡补偿来稳定开环。
Meanwhile, the controller introduces frequency jitter technique to reduce the EMI and slope compensation to make the open loop stable.
介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法；同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。
And a new hybrid speed identification method is also proposed, which based on the neural network, combines the open loop estimator and the instantaneous reactive power model reference adaptive system.
介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法；同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。
And a new hybrid speed identification method is also proposed, which based on the neural network, combines the open loop estimator and the instantaneous reactive power model reference adaptive system.
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