1) non-systematic variability
非系统性变异
2) nonlinear singular system
非线性奇异系统
1.
Controlled distributions of affine nonlinear singular systems;
仿射非线性奇异系统的受控分布
2.
In this paper, the problem of sliding mode control for a class of nonlinear singular systems is considered when the index is constant one by using Lyapunov method and optimal control synthesis one.
利用最优控制综合的Ｌｙａｐｕｎｏｖ函数方法，研究了一类非线性奇异系统在指标为１时的滑动模态控制问题。
3.
The application of inversion theory to nonlinear singular systems is an important problem.
稳定逆定理在非线性奇异系统中有着非常重要的应用。
3) nonsingular linear system
非奇异线性系统
4) 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 。
5) 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。
6) nonlinear time-varying system
非线性时变系统
1.
A new method to estimate unknown noise statistics Q and R of nonlinear time-varying system;
用于非线性时变系统噪声统计Q、R阵估计的新方法
2.
Improved RLS algorithm for nonlinear time-varying system identification based on feed forward neural networks
基于前向神经网络的非线性时变系统辨识的改进递推最小二乘算法
3.
A model switching algorithm based on multi-model adaptive control is presented to solve the problem of poor transient response in the adaptive control of nonlinear time-varying system.
针对非线性时变系统在自适应控制过程中瞬态响应差的问题,提出了一种基于多模型自适应控制的模型切换算法。
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
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