The Network Dummy Equipment mainly used for computer based testing, measurement and control systems.
网络虚拟设备主要用于基于计算机的测试、测量与控制系统。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
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.
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 new networking project based on Ethernet for different numerical control systems and communication controller for network communication are designed in this paper.
本文设计了一种新的基于以太网的异构数控系统联网方案，并且设计出用于联网通讯的通讯控制器。
A scheme of adaptive control based on recurrent neural network is presented for a class of nonlinear systems only with a nonlinear part.
基于递归神经网络给出了仅含一个非线性环节的一类非线性系统的自适应控制方案。
Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.
基于系统辨识的神经网络灵敏度，提出了降低用于控制系统中神经网络灵敏度的一种方法。
This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
提出一种基于遗传算法的神经网络非线性自适应控制方案。
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems.
最近，大量的模拟研究揭示了一个基于神经网络的方法，直接自适应控制在飞行控制系统的设计带来的潜在利益。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Firstly, this paper research and analyze some key problems in the Internet-based remote control systems and the rules of uncertain transportation delay of the data in the network.
本文首先详细研究分析了基于因特网的远程控制系统中存在的一些关键问题，研究了网络中信息传输的不确定延迟的基本规律。
The data structure is studied based on the features that the systems needed high reliability in the transmission of network control data.
根据网络管理信息传输要求高可靠性的特点，探讨其应采取的数据结构。
As a new intelligent control method, the neural-network-based technique provides a potential tool for solving the control problems of highly uncertain, complex, nonlinear dynamical systems.
神经网络控制作为一种全新的智能控制方法，为解决高度不确定性和严重非线性的复杂动态系统的控制问题开辟了一条新的途径。
As a new intelligent control method, the neural-network-based technique provides a potential tool for solving the control problems of highly uncertain, complex, nonlinear dynamical systems.
神经网络控制作为一种全新的智能控制方法，为解决高度不确定性和严重非线性的复杂动态系统的控制问题开辟了一条新的途径。
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