首页> 外文会议>Chinese Control Conference >Linear Minimum Mean Square Error Estimation for Linear Systems with Stochastic State Equality Constraints
【24h】

Linear Minimum Mean Square Error Estimation for Linear Systems with Stochastic State Equality Constraints

机译:具有随机状态等式约束的线性系统的线性最小均方误差估计

获取原文

摘要

In the practical linear system with the state equality constraint,the constraint may exist stochastically.Considered this phenomenon,the stochastic distribution of the state equality constraint is modeled as the Bernoulli distribution,and regarded it as the perfect measurement drew into the measurement equation in this paper.A tiny noise may be subjoined on it to avoid leading the covariance of the augmented measurement noise singular.At this time,the original system can be generalized to the linear system with a part of its measurement received stochastically.
机译:在实际的具有状态等式约束的线性系统中,该约束可能是随机存在的。考虑到这种现象,将状态等式约束的随机分布建模为伯努利分布,并认为这是将其引入到测量方程中的完美度量可能会在其上再合并一个微小的噪声,以免导致增强的测量噪声奇异性的协方差。这时,可以将原始系统推广到线性系统,其中一部分测量值是随机接收的。

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