Delay system is existed extensively in industrial controls. Its control is all along adifficult problem in the process control system.
迟延系统是工业生产中广泛存在的一类过程,其控制一直是困扰过程控制领域的难题。
参考来源 - 基于神经网络的迟延系统控制·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
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