首页> 外文会议>European Control Conference >Unknown Input Kalman Filtering for Linear Discrete-Time Fractional Order Systems With Direct Feedthrough
【24h】

Unknown Input Kalman Filtering for Linear Discrete-Time Fractional Order Systems With Direct Feedthrough

机译:具有直接馈通的线性离散分数阶系统的未知输入卡尔曼滤波

获取原文

摘要

This paper presents an algorithm for a joint estimation of pseudo states and unknown inputs of a fractional order system. The special case where the unknown inputs have direct feedthrough to the outputs is considered. Necessary and sufficient conditions are given under which an unbiased pseudo state and input estimation is possible. The prediction step of the fractional Kalman filter uses an approximation as it can not be calculated exactly in practice. Therefore, the estimation procedure is suboptimal. Nevertheless, the method yields accurate estimates of pseudo states and unknown inputs which is illustrated by means of an academic example.
机译:本文提出了一种用于联合估计分数阶系统的伪状态和未知输入的算法。考虑了未知输入直接通向输出的特殊情况。给出了必要和充分的条件,在这种条件下,可以实现无偏伪状态和输入估计。分数卡尔曼滤波器的预测步骤使用了近似值,因为在实践中无法精确计算出该近似值。因此,估计过程是次优的。然而,该方法产生了伪状态和未知输入的准确估计,这通过一个学术示例进行了说明。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号