In order to overcome the nonlinearity and time-varying uncertainty of actual industrial processes, an adaptive control system based on linearization error model is proposed.
针对实际工业生产过程中的非线性、时变不确定性，提出了一种基于线性化误差模型的自适应控制系统。
In nonlinear filtering system, linearization error and system error are two major factors that affect filtering accuracy.
在非线性滤波系统中，线性化误差和系统误差是影响滤波精度的两个主要因素。
Unscented Kalman filter(UKF) is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
不敏卡尔曼滤波（UKF）是一种新的非线性滤波的方法，它能减少线性化截断误差对系统定位精度的影响。
This exact linearization is different from the approximate linearization which is often used in engineering, which is no error in a large enough area.
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。
The compensation of linearization error is included in MEKF.
增加了线性化误差补偿。
The boundary of the tracking error is guaranteed. Then, by using the technique of input-output linearization, the stable adaptive control method for general nonlinear systems is proposed.
然后利用输入输出线性化方法，给出广义非线性系统的自适应控制方法；
However, the linearization of EKF causes error which influences the accuracy of the system.
但是EKF的线性化会带来截断误差，从而影响系统定位精度。
Hence, the truncated error of the local linearization is reduced in certain degree and the approachability of proposal distribution is enhanced.
新算法在一定程度上减小了局部线形化的截断误差，提高了建议分布的逼近程度。
The vibration of the nonlinear pendulum is studied by means of linearization and correction method, the curves of the period ratio and the relative error is plotted.
应用线化和校正方法，研究了单摆的非线性振动，作出了周期比和相对误差随摆角的变化曲线。
The vibration of the nonlinear pendulum is studied by means of linearization and correction method, the curves of the period ratio and the relative error is plotted.
应用线化和校正方法，研究了单摆的非线性振动，作出了周期比和相对误差随摆角的变化曲线。
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