1) linear time-varying system
线性时变系统
1.
Parametric model identification algorithm of piece-wise constant matrices in MIMO linear time-varying system;
MIMO线性时变系统分段恒定矩阵参数模型辨识算法
2.
A model reference adaptive iterative learning identification algorithm was proposed for a class of high order linear time-varying systems which are uniformly strongly stable,uniformly strongly controllable and repeatable in finite time interval.
针对一类在有限时间区间上可重复运行的一致强稳定、一致强可控的高阶线性时变系统,提出了模型参考自适应迭代学习参数辨识方法。
3.
An iterative learning control (ILC) algorithm via general orthogonal polynomials is developed to address the trajectory tracking of a class of linear time-varying systems with uncertain exogenous disturbance.
针对一类受扰动的线性时变系统的轨迹跟踪控制问题,提出了基于广义正交多项式的迭代学习算法。
2) linear time-varying systems
线性时变系统
1.
Nonlinear robust control for linear time-varying systems with disturbances;
带有干扰的线性时变系统的非线性鲁棒控制
2.
The stability for a type of linear time-varying systems is discussed.
分析了一类线性时变系统的零解稳定性，并给出了该类线性时变系统稳定的充分必要条件和稳定区域
3.
With the combination of model reference adaptive control and iterative learning control,a combined model reference adaptive iterative learning control algorithm was proposed for a class of first order linear time-varying systems which are BIBO stable and repeatable in a finite time interval.
针对一类有限时间区间上具有可重复性的BIBO稳定的一阶线性时变系统,将模型参考自适应控制方法与迭代学习相结合,提出了组合模型参考自适应迭代学习控制算法。
3) linear time varying system
线性时变系统
1.
In this paper, a new approximated model for linear time varying systems is deduced via general orthogonal polynomials(GOPs) expansion by basis transformation in projection space.
通过在投影空间中的基变换 ,导出了一种基于广义正交多项式 (GOPs)展开的线性时变系统的新的近似模型 。
2.
In this paper, a method of parameter identification of linear time varying systems using the desirable properties of Daubechies wavelet in time-frequency domain is presented.
将小波理论应用于线性时变系统的参数识别中,利用Daubechies小波的时频局部分化特性,根据系统的输入及输出,求出在各个微小时间段上与该系统微分方程对应的相关参数,从而实现各个时变参数的识别。
3.
During a transfer alignment of strapdown inertial navigation system, Kalman filter models are linear time varying system whose analysis of observability is difficult.
捷联惯导系统的卡尔曼滤波模型在传递对准时,为线性时变系统,而线性时变系统的可观测性分析比较困难。
4) linear time-variant system
线性时变系统
1.
Closed-loop stability of linear time-variant systems with bounded control input;
具有有界控制输入的线性时变系统闭环稳定性
5) nonlinear time varying system
非线性时变系统
1.
Identification of nonlinear time varying systems based on recurrent neural networks;
基于回归神经网络的非线性时变系统辨识
2.
As it is well known,it is difficult to identify a nonlinear time varying system using traditional identification approaches,especially under unknown nonlinear function.
提出一种将前馈神经网络用于非线性时变系统辩识的学习算法 ,其要点是把网络权值看作时变系统的一个状态 ,用卡尔曼滤波估计此状态 ,于是网络实现了非线性和时变的映射 。
6) time-varying nonlinear system
非线性时变系统
1.
The performance of the algorithm is evaluated on the identification of some typical time-varying nonlinear system including the three degrees of freedom structural system with nonlinear time-varying stiffness.
针对基于前向神经网络的普通递推最小二乘估计存在着自适应跟踪慢和精度低的问题,提出了一种可对非线性时变系统进行快速辨识的新方法,因该方法有类似递推最小二乘算法的形式,称其为基于前向神经网络的快速递推最小二乘算法。
补充资料：线性时变控制系统
分子式：
CAS号：
性质：组成线性控制系统的诸环节中的一个或一个以上环节的参数在系统运行期间随时间变化的控制系统。
CAS号：
性质：组成线性控制系统的诸环节中的一个或一个以上环节的参数在系统运行期间随时间变化的控制系统。
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