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.
在对SZ绞合成缆机设备组成简介的基础上，设计了基于模糊神经网络的SZ绞合成缆机现场总线控制系统。
After brief introduction of equipments of SZ stranding machine for optical fibers, this paper designs SZ stranding machine field bus control system based on fuzzy neural network.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
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.
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.
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.
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.
介绍了异步电动机直接转矩控制系统中状态选择器的一种新型设计方法—神经网络设计方法。
A new design method of state selector in asynchronous machines direct torque control system-neural networks design method is introduced.
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.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
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.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
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.
将神经网络与专家系统相结合，提出了一种应用于无人机指挥控制系统的智能故障诊断方法。
An intelligent fault diagnosis approach for UAV command and control system is presented by combining neural network and expert system.
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.
针对复杂工业过程控制系统的特点，提出一种专家系统和模糊神经网络相结合的二级协调智能控制系统。
By integrating expert system with fuzzy neural network, a new type of two-level coordination intelligent control system used in complex industrial processes is proposed in this paper.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
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。
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.
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.
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