1) linear subsystem
线性子系统
1.
The nonlinear gain and the impulse response functions of linear subsystem be obtained by using the step-changeds and cyclic impulse with dif- ferent amplitudes as input signals.
该方法利用阶跃输入信号获取非线性增益的强一致性估计;利用不同幅值的周期脉冲输入信号获取线性子系统脉冲响应函数的强一致性估计。
2.
In this paper,a two-stage identification technique which uses both steady-state and dynamic information to identifying the nonlinear gain and linear subsystem of Hammerstein model,respectively,is prasented,and estimats obtained are strong consistenCy.
该方法利用稳态信息获取非线性增益的强一致性估计;利用动态信息获取线性子系统未知参数的强一致性估计。
3) linear dynamic subsystem
线性动态子系统
1.
The linear neural network reflects the linear dynamic subsystem.
其中,BP网络反映了非线性静态增益,线性神经网络反映了线性动态子系统。
4) linear system
线性系统
1.
Research on the Dropping Shock Response of Linear System;
线性系统的跌落冲击解研究
2.
A neural network algorithm for pole assignment in linear systems;
线性系统极点配置的神经网络算法
3.
The Calculation of Correlation Function of the Linear System Output When the Random Input is White Noise;
随机输入为白噪声时线性系统输出的相关函数的计算
5) linear systems
线性系统
1.
Observer-based optimal tracking control for linear systems with control delay;
基于观测器的控制时滞线性系统的最优跟踪控制
2.
An approach to design the finite-time observer for MIMO-linear systems;
多输入-多输出线性系统有限时间观测器设计方法
3.
Dual Luenberger observer design for linear systems;
线性系统对偶Luenberger观测器设计
补充资料:二性子
两性人的通称。
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