首页> 外文会议>IEE Colloquium on Why aren't we Training Measurement Engineers?, 1992 >Observability recovering by additional sensor implementation in linear structured systems
【24h】

Observability recovering by additional sensor implementation in linear structured systems

机译:通过在线性结构化系统中使用其他传感器来恢复可观察性

获取原文

摘要

In this paper, we consider linear structured systems which represent a large class of parameter dependent linear systems. We focus our attention on observability analysis. It turns out that the system is structurally observable if and only if the system is output connected and contains no contraction. We analyze in a structural way the possible causes for unobservability and tackle the problem of observability recovering by additional sensor implementation. Using classical tools of graph theory, we give the minimal number and the location of additional sensors to be implemented in order to avoid contractions. We give also the minimal number of states which have to be measured for ensuring output connectivity. We think that the results presented here provide a deeper understanding of structural unobservability and can be useful for solving problems as fault detection without a priori assuming the system observability.
机译:在本文中,我们考虑线性结构化系统,该系统代表一大类参数相关的线性系统。我们将注意力集中在可观察性分析上。事实证明,只有在系统输出连接且没有收缩的情况下,系统在结构上才是可观察的。我们以结构的方式分析了不可观察性的可能原因,并通过其他传感器的实施来解决可观察性恢复的问题。使用图论的经典工具,我们给出了要实现的其他传感器的最小数量和位置,以避免收缩。我们还给出了为确保输出连通性而必须测量的最小状态数。我们认为,此处介绍的结果可提供对结构不可观察性的更深入理解,并且对于解决故障检测问题而无需先验地假设系统可观察性可能很有用。

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