这些因素的近似线性化虽然简化了分析过程，但所得结果可能与工程实际偏离较大。
The approximative linearization to factors, simplifying analysis process indeed, lead to the result that would possibly differ from the real fact.
这种精确线性化不同于以往工程技术中常用的近似线性化方法，它在足够大的“区域”中是没有误差的。
This exact linearization is different from the approximate linearization which is often used in engineering, which is no error in a large enough area.
将等效线性化法与谐波平衡法相结合，求出了系统的近似解析响应。
By combining equivalent linearization method with harmonic balancing technique, the approximate analytic response was obtained.
通过非线性系统的线性化方法，讨论了一类非线性时变微分系统的解关于部分变量指数稳定的一次近似。
The first order approximation of the partial exponential stability of nonlinear time-varying systems is investigated by linearization approach of nonlinear systems.
使用等效线性化技术与单模态近似得到响应的均方误差方程。
A response equation for the mean square deflection is obtained under a single mode approximation by using the equivalent linearization technique.
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。
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.
最后，通过实例证明了采用线性化近似分析的有效性，并获得了仿袋鼠机器人稳定跳跃时各参数之间的变化关系。
Finally, the linear approximation analysis is proved by example to be effective and the relation among parameters when kangaroo robot hops stably is obtained.
通过理论分析，给出了TS -B3型温度传感器线性化误差的近似计算式及电路参数的计算方法。
An approximate formula of linear error about TS-B3 temperature sensors and calculation methods about circuit parameter were given by theory analysis.
加权等价线性化方法是研究非线性随机振动的一种有效近似方法。
The weighted equivalent linearization technique is an effective approximation for nonlinear random vibration analysis.
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。
The linearization operation was conducted for the nonlinear TTC control system to obtain a small-signal linear approximation.
利用变换和摄动法将非线性位移方程线性化，得到了近似边值问题。
By using the transformation and the perturbation method, the nonlinear displacement equations are linearized, and the approximate boundary value problems are obtained.
基于一种新的线性化近似模型，提出一类双层最优迭代算法。
According to the model, a new dual-staged optimal iterative learning control scheme is proposed.
在第二章中，介绍了引力辐射，主要是对引力场的线性化求解，即弱场近似作了介绍。
In chapter two, it explains gravitational radiation, especially the linear solution in gravitational field. That means it gives explanation to weak field.
如果这两个前提难以满足，由线性化近似模型带来的模型误差将变得难以控制。
If the two preconditions are difficult to satisfy, the model error caused by the linear approximation will become difficult to control.
这种线性化近似模型要满足两个前提方能解算出足够精度的待估参数：第一，非线性函数模型的非线性强度要足够弱；
To obtain enough accuracy parameters to be estimated, this linear model must meet two preconditions:First, the nonlinear strength of nonlinear models is enough weak;
这种线性化近似模型要满足两个前提方能解算出足够精度的待估参数：第一，非线性函数模型的非线性强度要足够弱；
To obtain enough accuracy parameters to be estimated, this linear model must meet two preconditions:First, the nonlinear strength of nonlinear models is enough weak;
应用推荐