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The NNC (neural network control) is used to realize the predictive control. 然后利用神经网络控制器(NNC)实现基于模型的预测控制。
One is used as NNI recognizing the model, another as neural network control device (NNC). 首先将被控对象进行离线辨识,确定NNC的初始权值再进行神经网络在线控制,从而能够进一步提高系统的控制精度。
A bionic neural network control system based on the oscillator is designed to control a fish-robot. 采用该振荡器设计了鱼形机器人的仿生神经网络控制系统。
The neural network control models can act to simulate power plant operation and to control operation parameters according to the specified conditions. 神经网络控制模型能根据指定约束条件，产生合理的动作，模拟电厂运行和控制运行参数
C. C. Lin and F. C. Chen, “Improved CMAC neural network control scheme,” Electronics Letters, Vol.35, No.2, pp.157-158, 1999. 赖玉彬，模糊可微分小脑模型控制器之设计与应用研究，国立台湾师范大学工业教育所，硕士论文，2003。
A closed form initial guidance law based on feed forward and feedback neural network control for finite propulsive reentry spacecraft was presented. 提出了一种前馈反馈神经网络闭路初制导律。
In the first control schedule , neural network control (NNC) is a two-layered linear network .It has the structure of the PID control . 在作者提出的这种自适应控制器中，其自适应参数为神经网络的权系数，经过适应学习以控制未知特性的对象及适应环境的变化。
A genetic neural network control method for variable displacement pump of hydraulic dozer with the energy saving purpose is suggested. 摘要提出了一种液压推土机节能用变量泵遗传神经网络控制方法。
Qi W G,Zhu X L,Zhang Y L.A study of fuzzy neural network control of energy-saving of oil pupm[J].Proceedings of the CSEE,2004,24(6):135-137. [1]齐维贵;朱学莉;张延丽.;抽油机节能的模糊神经网络控制研究[J]
A new fuzzy neural network controller is designed in the winding machine. 在玻璃钢缠绕设备的控制系统中,设计了一种新型模糊神经网络控制器。
According to principle of colon affusion operation and clinical requirements, a colon affusion dialysis treatment machine based upon fuzzy neural network control is proposed. 根据灌肠术原理和临床的需求,提出了一种基于模糊神经网络控制的结肠灌注透析治疗机。
According to principle of colon allusion operation and clinical requirements, a colon affusion dialysis treatment machine based upon fuzzy neural network control is proposed. 摘要根据灌肠术原理和临床的需求，提出了一种基于模糊神经网络控制的结肠灌注透析治疗机。
By the control of experiment electric stove, the results prove that the DBP neural network control precision is high, no over foot and response is fast. 并以实验电炉为对象，用工控机对其炉温进行控制，结果表明，采用动态BP网络进行控制，可以无超调地无限逼近给定值，控制精度高，控制时间较短。
The experimental results show that the two-motor synchronous system is decoupled based on neural network control with better dynamic and static characteristics. 试验结果表明：采用神经网络控制方法可以实现两电机同步系统中速度和张力的解耦控制，系统具有良好的动静态性能。
For a class of multi-input-multi-output (MIMO) discrete-time nonlinear systems with riangular form control inputs, an adaptive neural network control is proposed via backstepping. 摘要针对一类控制输入为主角形式的多输入多输出离散非线性系统，提出了基于反步法的自适应神经网络控制方法。
In chapter 6, the control scheme of active-suspension which is called Adaline neural networks control is researched . 可以把此Adallne神经控制策略推广，用其它神经网络控制策略来控制主动悬架。
The neural network controller(NNC) is used to adjust adaptively cutting parameters to get optima... 仿真试验结果表明这种控制策略的可行性和有效性。
Thus fuzzy neural network controller based on fast RLS algorithm has a good prospect appliance in practice. 因此基于修正RLS算法的模糊神经网络控制器应用于实践中有着比较理想的前景。
This paper presents an on-line trained SIMO neural network controller use with a shiptrack-keeping autopilot. 本文提出了一种船舶航迹保持的在线神经网络控制器。
The method can overcome the difficulties of obtaining the training input/output samples for neuro-controller in neural networks control. 该方法适合多输入／多输出结构体系，整个推导过程都是针对此体系进行的。