Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
A novel neural networks control approach for manipulator with flexible end link was proposed.
提出了一种末杆为柔性杆的机器人的新型神经网络控制方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Secondly, two neural networks controllers for the ramp control are developed, which are the direct controller and the PI controller.
其次，论文设计了两种用于入口匝道控制的神经网络控制器——直接型和积分型。
This paper put forward a design principle and realization method for frequency conversion alternative motor controller based on neural networks control technology.
论述了基于神经网络控制技术的交流变频调速控制器的设计原理和实现方法。
Neural networks technique is an important part of intelligent control theory. But, there are still many problems in the application of neural networks used for process identification and control.
神经网络技术是智能控制理论的重要组成部分，当前神经网络在系统辨识与控制中的应用还存在许多问题。
Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
Based on neural networks, a robust control design method is proposed for strict-feedback block nonlinear systems with mismatched uncertainties.
针对非匹配不确定性的严反馈块非线性系统，基于神经网络提出一种鲁棒控制方法。
This paper USES the principle of decomposition-coordination for large-scale systems, fuzzy theory and neural networks technique to solve the real time arterial coordinated control problem.
利用大系统的分解-协调思想、模糊理论和神经网络技术来进行城市交通干线的实时协调控制。
An adaptive back stepping control method based on neural networks is presented for a class of nonlinear systems.
文章针对一类非线性系统，研究了一种基于回馈递推法的自适应神经网络控制方法。
A simple adaptive control scheme for a yacht based on neural networks has been described.
本文描述了一个简单的基于神经网络的小型帆船自适应舵的控制方案。
This paper describes a learning method which USES neural networks for service quality control in the asynchronous transfer mode (ATM) communications network.
介绍神经网络解决AT M通信网中业务质量控制的一种学习方法。
Mill automation is based on models with neural networks for pass schedule calculation and computation of set points for roll shifting and bending, and parameters for dynamic flatness control.
轧机自动化以神经网络模型为基础进行道次表、弯辊和窜辊设定点、以及平直度动态控制参数的计算。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
In this paper, a nonlinear adaptive control scheme for missile control system with mismatched uncertainties is proposed on the basis of RBF neural networks and inverse control technology.
在导弹系统存在非匹配不确定性的情况下，提出了一种基于RBF神经网络和反演控制技术的神经网络自适应导弹控制系统的设计方法。
In this paper, a neural network controller is designed for ash content control of papermaking process, neural networks are trained by using the output error of the controlled plant directly.
对于非线性，大时延、变参数的造纸过程灰份含量的控制，本文给出了一种神经网络控制方法。
New settlement prediction and control theory is given. Finally, the neural networks technology is used in the practice of settlement calculation for a high rise building built on composite foundation.
建立了新的变形预测与控制理论，并应用神经网络技术进行了某高层建筑复合地基变形预测的工程实践。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.
受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法，并且可以基于同步对其连结权重进行估计。
Then, made use of neural networks approach to the maintenance and inspection robot for intelligent control;
然后，提出了利用神经网络的方法对核电站检修机器人进行智能控制。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
An on-line control model for road tunnel with longitudinal ventilation was proposed based on neural networks and by combining traffic model, aerodynamics model and pollution model.
基于神经网络方法建立了公路隧道纵向通风在线控制模型，结合交通模型、空气动力学模型及污染模型，对隧道内污染物进行了通风控制过程的动态模拟。
This paper presents how two important computional features of neural networks can be used for adaptive control through the use of neural network computional algorithms.
本文介绍通过利用神经网络计算算法怎样将神经网络两个重要的计算特点用于自适应控制。
The on-line training methods for the neural networks in the control system are described, the simulation in ship maneuvering control …
文中给出了神经网络的在线训练学习方法，并进行了船舶操纵控制仿真研究。
The on-line training methods for the neural networks in the control system are described, the simulation in ship maneuvering control system is illustrated.
文中给出了神经网络的在线训练学习方法，并进行了船舶操纵控制仿真研究。
The on-line training methods for the neural networks in the control system are described, the simulation in ship maneuvering control system is illustrated.
文中给出了神经网络的在线训练学习方法，并进行了船舶操纵控制仿真研究。
应用推荐