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拟自适应推广卡尔曼滤波算法
引用本文:史百舟,邬齐斌.拟自适应推广卡尔曼滤波算法[J].青岛科技大学学报,1992(4).
作者姓名:史百舟  邬齐斌
作者单位:青岛化工学院自动化系,青岛化工学院自动化系
摘    要:生化生产过程经常遇到具有隐含观测方程,噪声特性不能确定的问题,本文通过对状态方程和观测方程进行适当处理,把离散化误差、线性化误差、模型噪声和模型本身不准确所造成的误差都归结为虚拟噪声,利用虚拟噪声补偿技术并结合推广卡尔曼滤波算法,提出了拟自适应推广卡尔曼滤波算法,仿真表明该算法对于解决这类问题是比较有效的.

关 键 词:生化过程  非线性系统  推广的卡尔曼滤波算法

Quasi-Adaptive Extended Kalman-Like Filter Algorithm
Shi Baizhou, Wu Qibin.Quasi-Adaptive Extended Kalman-Like Filter Algorithm[J].Journal of Qingdao University of Science and Technology:Natutral Science Edition,1992(4).
Authors:Shi Baizhou  Wu Qibin
Affiliation:Shi Baizhou; Wu Qibin Department of Automation
Abstract:In the biochemical production process, there often occur the problems whose observation equation is implicit and whose noise property of actual process is undetermined. A quasi-adaftive extended Kalmanlike filter algorithm is put forward. It has been show that the algorithm is efficient in solving the estimation problem by simulation.
Keywords:biochemical process  nonlinear system  extended Kalman filtering algorithm
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