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。
The stability of whole robust neural network control system is analyzed.
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 this paper, a neural network control system for rotary kiln based on features of combustion flame is proposed.
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。
It is introduced how to build the PID neural network control system, which is applied to the real-time control of furnace temperature.
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。
A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.
结合神经网络与PID控制，形成船舶柴油发电机转速神经网络控制系统；
Rotation speed control of marine diesel engine generator is built by the combination of neural network and PID control system.
仿真结果表明：神经网络控制系统比线性控制系统能明显地改善控制效果。
And, the control system is simulated by computer with MATLAB programme. the result shows: the nonlinear control system can more apparently improve the control-effect than the linear ones.
本文围绕非线性系统的模糊神经网络控制问题，展开研究，设计了一个自适应模糊神经网络控制系统。
This paper mainly focused on the problem of fuzzy neural network control of non-linear system and got into further study and then a self-adaptation control system of fuzzy neural network was designed.
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。
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.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
当被控对象的特性发生变化时，可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
本文概述了神经网络在飞行控制系统中的应用，并分析了应用中的困难。
This paper surveys the application of neural networks in flight control system, and analyzes the difficulties in application.
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。
According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built.
利用人工神经网络，讨论了线性定常控制系统关于状态反馈、输出反馈及动态补偿器的极点配置问题。
By Using an artificial neural network, the pole assignment problem of state feedback, output feedback and dynamic output feedback compensators in linear control system are discussed.
通过对影响配料精度因素的分析，设计了一种基于动态神经网络的配料控制系统。
A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture.
提出一种用于风力发电控制系统的人工神经网络。
An artificial neural network theory for the control of wind power systems is proposed.
本文就武装直升机大机动、高敏捷性神经网络鲁棒自适应飞行控制系统的设计问题展开研究。
The robust adaptive flight control system design with neural network of attack helicopter is studied in this dissertation and super maneuver nimble of attack helicopter is realized.
仿真结果辨明：神经网络描述的电液伺服控制系统数学模型具有较高精度，算法全局逼近能力良好。
The results of simulation show that mathematical model of neural networks of electro-hydraulic servo control system has better precision and the algorithm has ability to approximate error of global.
该文提出一种基于对角递归神经网络的内模控制系统，并以跳汰生产过程床层松散状况为对象进行了研究。
This paper proposes an internal model control system based on recurrent neural network, and considers jigger layer loose condition as research object.
文章用径向基神经网络设计内模控制系统。
This paper designs a internal model control system with radial basis function neural networks.
基于混沌变量，提出一种神经网络自适应控制系统的优化设计方案。
In this paper, the optimization design for self-adaptive control system of feed-forward neural network is proposed based on chaotic variable.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
这种方法把模糊控制和神经网络相结合进行控制系统的建模。
This way combines fuzzy control with neural networks to build the model of control system.
本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。
A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.
论证了神经网络温度控制系统结构及其控制原理，并阐述了该系统在中央空调中的应用。
The principle and structure of neural networks temperature control system are discussed. An application in center air adjusting control is presented.
论证了神经网络温度控制系统结构及其控制原理，并阐述了该系统在中央空调中的应用。仿真结果证明了其应用的可行性。
The principle and structure of neural networks temperature control system are discussed. An application in center air adjusting control is presented. The simulation results prove its validity.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
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。
Combined CMAC neural network control algorithm with PID control algorithm, a parallel control system for Marine generator excitation system was designed.
仿真结果表明该方法精简了网络的结构，减少了训练的时间，为模糊神经网络用于实时控制系统提供了可能的条件。
The method can simplify the structure of network and reduce the time of training that supplies the possibility that FNN is used in realtime control system.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
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