This paper gives a brief introduction to neural network control.
主要对神经网络控制进行了综述。
Neural network control strategy is a branch of intelligent control.
神经网络控制策略是智能控制的一个分支。
The stability of whole robust neural network control system is analyzed.
论文从理论上分析了整个鲁棒神经网络控制系统的稳定性。
This paper applied BP neural network control to the Static Phase Generator, and achieved good results.
本文将BP神经网络控制应用到静止式进相器中，取得良好的效果。
In this paper, a neural network control system for rotary kiln based on features of combustion flame is proposed.
提出了一种基于燃烧火焰图象特征的回转窑神经网络控制系统。
In the active noise control system we apply neural network control method and derive neural network BP algorithm.
在噪声主动控制系统中采用神经网络控制方法，给出了神经网络BP算法的一种变异算法。
It is verified by a real controlling that a fair control result can be achieved with fuzzy neural network control.
经实际控制证明，模糊神经网络控制可以得到良好的控制效果。
The conception and theory of the Neural Network control and closed loop gain shaping control algorithm are introduced simply.
首先对神经网络控制概念和原理与闭环增益成形算法进行简单的介绍。
A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.
一个神经网络控制系统能学习预测电极位置和炉子工作稳定性之间关系。
It is introduced how to build the PID neural network control system, which is applied to the real-time control of furnace temperature.
介绍基于以太网的PID神经网络控制系统的构建及实时控制过程。
Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
文中在分析了无毒提金工艺过程特性的基础上，提出了模糊神经网络控制的算法。
This paper presents concretely the applications of fuzzy control, neural network control and neural-fuzzy control in DC-DC converters.
本文具体介绍了模糊控制、神经网络控制和神经模糊控制在DC - DC变换器中的应用。
We consider the networked control system (NCS) from linear quadratic Gaussian (LQG) method, switched system and neural network control.
对网络控制系统分别从高斯型二次最优（LQG），切换系统和神经网络控制三个方面来考虑。
It is aimed to make the Fuzzy Neural Network control research on the loading of the intelligent loader based on CAN-BUS control system.
本研究课题就是以CAN总线系统硬件平台为基础，重点针对智能装载机铲装过程进行模糊神经网络控制研究。
Considering nonlinear rigidity of spring element, this dissertation use neural network control strategy to control semi-active suspension.
由于空气弹簧的非线性，所以采用神经网络控制调节空气弹簧的刚度，以期使悬架系统达到理想的减振效果。
So we attempt to improve furtherly auto-control level of copper continuous extrusion production by fuzzy neural network control technology.
因此尝试采用模糊神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
It is introduced the second part in the intelligent control for speed control of AC motor, the artificial neural network control technology.
介绍在交流电机调速中应用智能控制的第二部分——人工神经网络控制技术。
The advantages of this adaptive fuzzy control method compared to other nonlinear control method (artificial neural network control) are analyzed.
分析了该方法与其它非线性控制方法(神经网络控制)相比所具有的优点。
According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built.
根据反馈神经网络控制方法在发动机控制系统中的应用研究，建立了基于反馈网络的发动机控制系统。
The paper USES DSP system board designed by ourselves. Its main task is data process real-time control and expert Fuzzy neural network control scheme.
采用了自行设计的DSP系统板，它主要完成数据处理及实时控制以及专家模糊神经网络的控制方案。
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。
This paper presents a neural network control system based on CMAC, which consists of a CMAC neural network controller and a BP network model identifier.
提出了一种基于CMAC神经网络控制系统，该系统由CMAC神经网络控制器和BP模型辨识网络组成。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
结合CMAC神经网络控制算法与PID控制算法设计了船舶发电机励磁并行控制系统。
The problem of direct adaptive neural network control for a class of interconnected systems with unknown constant control gains is studied in this paper.
研究了一类具有未知常数控制增益的耦合大系统的直接自适应神经网络控制问题。
In the neural network control area, the control of inverted pendulum is always a typical hot but difficult problem for its representative and complexity.
在神经网络控制领域，倒立振子控制问题因为其代表性和复杂性，一直是一个典型的热点和难点问题。
The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.
将上述方法用于实际脉冲TIG焊过程控制，结果表明模糊神经网络控制方案有效。
The force acted on the bucket has been analyzed and a way of resistance-reducing loading, which is achieved by the Fuzzy Neural Network Control, is proposed.
通过对装载机的铲装机理进行研究，提出减阻铲装的铲装策略，并且通过模糊神经网络控制方案实现。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
The controllable pitch propeller control system based on fuzzy and neural network control is proposed, the result shows that the system design is feasible and effective.
在此基础上提出了基于模糊神经网络控制的调距桨控制系统的设计，仿真试验结果表明了调距桨控制系统设计的合理性。
The controllable pitch propeller control system based on fuzzy and neural network control is proposed, the result shows that the system design is feasible and effective.
在此基础上提出了基于模糊神经网络控制的调距桨控制系统的设计，仿真试验结果表明了调距桨控制系统设计的合理性。
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