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。
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