模糊PI控制器具有鲁棒性强、控制灵活等优点，但是将其应用于纯迟延系统时超调量较大、响应速度慢。
Fuzzy PI controller has good robustness and flexible control, but it has maximal overshoot and slow response when used in the process with large time delay.
该文在延迟系统逆动力学过程定性分析的基础上，对传统模糊控制器加以改造，提出一种新的适合于迟延系统的控制方法。
Based on the qualitative analysis to inverse dynamics of delay system, through modifying conventional fuzzy controller, a new control method which is fit for delay system is presented.
本文提出一种人工神经网络（ANN）方法，确定暖通空调（HVAC）系统对控制信号响应的时间迟延，在研究中选用了四层网络。
This paper presents an artificial neural network(ANN) approach to determine the time delay for a heating, ventilating, and air -conditioning(HVAC)plant to respond to control actions.
针对网络化控制系统(ncs)具有不确定性的传输迟延与数据丢包特性，设计了一个分布式的网络化控制系统模型。
With regards to the characteristics of uncertain transmission delay and packet dropout of networked control system (NCS), a distributed model is proposed in this paper.
针对火电厂主汽温对象大迟延、不确定性的特点，结合内模控制器设计了基于自适应PS D控制器的控制系统。
In view of large delay and uncertainty of the main steam temperature object in a power plant, combining with internal model controller, a control system based on adaptive PSD has been designed.
该方法是基于最小相位滤波器的复倒谱系数和其群迟延函数以及其系统函数之间的关系，通过一个非线性的递归方程求解分母多项式的系数。
Based on the relationship between the group delay function and the cepstral coefficients, the denominator polynomial coefficients can be determined through a nonlinear recursive difference equation.
针对火电厂主汽温被控对象的大迟延、模型不确定性，设计了基于神经网络的主汽温控制系统。
In order to overcome the large delay and the uncertainty of the main-stream temperature object in fossil-fired power station, a control system based on neural network is proposed.
为了克服系统的大惯性和大迟延，引入灰色预测器对未来信号进行预测，预测结果作为DNN使用的整定信息。
For overcoming the big inertia and large time delay of the controlled plant, grey predictor is introduced to predict future output value, the predictive result is used as tuning information of DNN.
而后考虑了单个网络化系统（NCS）存在随机迟延问题时，系统的建模与控制问题。
Then we study model and control of single NCSs with stochastic time delays.
而后考虑了单个网络化系统（NCS）存在随机迟延问题时，系统的建模与控制问题。
Then we study model and control of single NCSs with stochastic time delays.
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