返回到增压后勤保障舱的未分配食品的使用将采取存货控制，以防航天飞机运送下一批食品迟延。
Inventory control will be maintained on the unallocated food returned to the PLM for use in case the Shuttle is late in delivering the next food set.
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.
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.
火电厂锅炉过热蒸汽温度是一类典型的大迟延、大惯性、时变、非线性控制对象。
Boiler superheated steam temperature is a typical object with large delay, inertia, time-varying and nonlinearity.
针对大迟延过程，提出一种预测与智能控制相结合的新型控制器。
A new kind of controller combined prediction with intelligent control for large delay process is presented.
由于该控制方案有很强的适应能力，所以适用于缺乏精确数学模型且参数变化的大迟延工业过程。
Owing to the good fitness of this control method, it can be used in large delay industry process of uncertain model and variational parameters.
结果表明，本文提出控制方法，使大迟延对象的动态品质提高，并且在抗干扰性和鲁棒性上要优于PID控制。
As a result of it, the control algorithm in the article enhances the dynamic quality of large-delay object, and excels PID control in the anti-interference characteristic and robustness.
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.
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.
火电厂主蒸汽温度具有大迟延、大惯性的特点，且对象特性随负荷变化较大等因素，很难实现稳定和高性能的控制。
The temperature of the main steam system is a tipical control of long time-delay, long inertia time and parameter-varying, so it is difficult to achieve a high-quality effect.
模型算法控制(MAC)是预测控制的一种，在惯性迟延对象的控制中有很好的应用。
MAC is one kind of predictive control methods, and has found many applications in controlling objects with a big inertia and delay.
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.
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.
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.
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