首页> 外文会议>IEEE International Conference on Information and Automation >Distributed fault estimation of networked systems using quantized measurements
【24h】

Distributed fault estimation of networked systems using quantized measurements

机译:使用量化测量值对网络系统进行分布式故障估计

获取原文

摘要

This paper is concerned with the problem of distributed fault estimation for networked systems using quantized measurements. In the proposed distributed scheme each estimator provides a fault estimate by adopting both its local measurement and information from neighbors, which are quantized before transmission due to the limited bandwidth resource. A sector bound approach is firstly introduced to handle the quantization error. Then the dynamics of estimation errors are modeled as a system with uncertainties. Based on the Lyapunov stability theory, a sufficient condition is derived such that the estimation error system is asymptotically stable and achieves a prescribed H noise attenuation performance. A convex optimization problem is formulated for designing the desired distributed estimators. Finally, an illustrative example is presented to demonstrate the effectiveness of the proposed design method.
机译:本文涉及使用量化测量的网络系统分布式故障估计问题。在提出的分布式方案中,每个估计器都通过采用其本地测量值和来自邻居的信息来提供故障估计值,由于带宽资源有限,这些信息在传输之前被量化。首先引入扇区边界方法来处理量化误差。然后,将估计误差的动力学建模为具有不确定性的系统。基于李雅普诺夫稳定性理论,推导了充分条件,使得估计误差系统渐近稳定,并实现了规定的H噪声衰减性能。提出了一个凸优化问题,用于设计所需的分布式估计量。最后,给出了一个说明性的例子来证明所提出的设计方法的有效性。

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