鸣禽的鸣唱控制系统已成为研究神经系统与学习、行为和发育相关的一个重要模型。
The song control system of birds has become an important model for studying neural system related to learning, behavior, and development.
该模拟神经控制器能应用于机器人控制系统中。
The analog neural controller can be applied in the control systems of robots.
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.
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.
鸣禽发声学习的控制系统主要由一条直接神经通路和一条辅助神经通路组成。
The song control system of songbird is mainly composed of direct pathway and acces - sory pathway.
本文通过对神经元学习规则的探讨，提出了一种基于引导因子的神经元改进学习规则，并将其用于实际控制系统中。
According to the learning and control ways of Neuron, this paper presents a modified method, which is based on the guiding factor, for the learning rule of neural controller.
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.
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.
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.
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.
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.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.
本文介绍了神经元网络在控制系统故障诊断中的应用，讨论了神经元网络用于控制系统故障的离线诊断与在线诊断。
In this paper, the application of neural network is presented in the control system fault diagnosis. The method of on-line and off-line fault diagnosis are given.
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.
目的研究人手在握物受扰后的恢复过程以及整个过程中视觉对于神经肌肉控制系统的影响。
Objective To study the balance control of upper limb during perturbation by the object held in hand and the affect of vision for recovery.
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.
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.
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.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
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.
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.
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.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
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