Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Firstly, by computing the eigenvalues of linear approximation system, a critical condition which ensures odd point o is local center is obtained.
首先通过计算线性近似系统特征值的方法，给出了奇点o为局部中心点的判定条件。
A stairs model approximation for stable linear time-invariant system is given in this Paper.
本文对稳定的线性时不变系统提出了一种阶梯模型近似。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
Extended Kalman Filter is an efficient tool for mobile robot position tracking, but it suffers from linearization errors due to linear approximation of nonlinear system equations.
扩展的卡尔曼滤波定位方法是一个常用的位置跟踪方法，但是在对非线性系统方程进行线性化近似过程中引入了线性化误差。
The linearization operation was conducted for the nonlinear TTC control system to obtain a small-signal linear approximation.
获得一个小信号线性近似的线性化操作进行非线性的TTC的控制系统。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
A novel recursive subspace method is developed based on fixed length moving window (FLMW) projection approximation used for estimating the modal parameter of linear time-varying structural system.
给出了一个新的用于线性时变参数结构系统模态参数识别的基于固定长度平移窗投影估计的递推子空间方法。
Through comparison between theory proof and simulation, we find the approximation method is feasible in linear time invariant (LTI) system of concentration and distribution parameter.
通过理论推导与仿真结果的对比可知，数据关联抖动估算方法对线性时不变的集总参数，分布参数系统均是可行的。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation for nonlinear chaotic system, the nonlinear chaotic system has been fuzzy into local linear model.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
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