为了能在异步控制网络上实现采样同步，可采用时钟同步方法。
Using the clock synchronization, synchronous sampling could be realized on an asynchronous control network.
利用异步动态系统的相关结论，给出网络控制系统指数稳定的充分条件。
The sufficient condition to the exponential stability of the networked control system is derived from the conclusion of the ADSs.
最后，利用具有事件率约束的异步动态系统的一些稳定性结论，对本文所建的网络控制系统模型进行稳定性分析。
Finally, the stability of the network control system model was analyzed, utilizing the stability conclusions of the ADS with event-probability.
介绍了异步电动机直接转矩控制系统中状态选择器的一种新型设计方法—神经网络设计方法。
A new design method of state selector in asynchronous machines direct torque control system-neural networks design method is introduced.
假定传输时延可以忽略，则整个网络控制系统可以描述为一个具有N个事件的异步动态系统。
Assuming the transfer delay to be ignored, the networked control system is an asynchronous dynamic system with N-events.
CAN总线是一种有效支持分布式控制和实时控制的、多主的异步串行通信网络。
Can bus is a kind of network of the asynchronous serial communication that can effectively support the distributed control and the Real_time and the multi-master control.
主要讨论在网络差错控制中，异步总线的延迟不敏感编码的基于比较的实现问题，即校验码的位数≥数据的位数；另外编码还必须满足初始化条件。
The article introduces the implementation issues of asynchronous logic underlying comparison-based error control for systematic delay-insensitive codes in the networks.
根据异步电动机直接转矩控制原理，提出了采用人工神经元网络速度辨识方法去实现无速度传感器的交流调速控制系统。
Based on the principle of the direct torque control, the novel identification method of induction motor speed using neural network in a speed-less sensor AC drive system was presented.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
本文运用神经网络逆系统这一新的控制策略，对异步电机变频调速系统进行可逆分析与控制试验。
Based on the new ANN (artificial neural network) inverse system control method, the AC variable frequency speed control system is analyzed and experimented.
流量控制是异步传输模式(atm)网络中的重要课题。
Traffic management is important in asynchronous transfer mode (ATM) networks.
针对异步电动机直接转矩控制系统，基于三相异步电机方程提出一种新型的采用人工神经网络辨识电机转速的方法。
The paper presents a novel speed identification scheme based on the BP Neural Network for the DTC motor drive 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.
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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