1) positive-negative sequence composite network
正负序复合网络
2) negative sequence network
负序网络
1.
Based on this, the circuits are divided into two parts: positive and negative sequence networks.
在此基础上,将电路划分为正序网络和负序网络,同时利用不平衡功率的波动特性提出了SVC(Static Var Compensator)的等效补偿电纳计算方法。
3) complex series network chart
复合序网络图
1.
The complex series network chart is obtained andthe relations of fault point,Capacitance, Voltage and ourrent series of soruce are affirmed, and the studycontents are perfected.
用对称分量法对中性点绝缘电网最多的故障──单相对地短路进行了探讨，得出了复合序网络图，确定了故障点、电容、电源处各序电压、电流间的关系，充实、完善了这方面的研究内容。
4) Analog compound orthogonal neural network
模拟复合正交神经网络
1.
Control study of analog compound orthogonal neural network in axial magnetic bearing;
模拟复合正交神经网络在轴向磁轴承中的控制研究
2.
Application of analog compound orthogonal neural network controller in DC speed adjusting system;
模拟复合正交神经网络控制器在直流调速系统中的应用
3.
Learning control of analog compound orthogonal neural network for robot manipulator;
机器人的模拟复合正交神经网络学习控制
5) Compound orthogonal neural network(CONN)
复合正交神经网络(CONN)
6) compound orthogonal neural network
复合正交神经网络
1.
This controller eliminates the nonlinearity and coupling of previous controllers by using a distributed control strategy and a compound orthogonal neural network(CONN).
此控制器采用分散控制策略,利用复合正交神经网络来消除并联机器人控制系统非线性、耦合的影响,学习系统的不确定信息作为前馈补偿使系统跟踪误差快速收敛,并采用PID作为反馈控制保证系统的稳定性,从而实现6-PRRS并联机器人的快速、稳定轨迹跟踪。
2.
The adaptive control method using compound orthogonal neural networks for nonlinear systems was proposed in this paper.
提出非线性系统的复合正交神经网络自适应控制方法。
补充资料：正负
1.正与反。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条