Detectability and Identifiability Analysis of Bad Data in Current Reckoning Method

2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2019-06-07 DOI:10.1109/ICACI.2019.8778481

Zhang Na, Yang Gang Wang Dawe

引用次数: 0

Abstract

In this paper, the observability analysis of the state estimation based on the current reckoning method is carried out, and the relevant conditions for achieving observability are obtained. On this basis, the detectability and identifiability of the bad data in system measurement are analyzed.

查看原文本刊更多论文

电流推算法中不良数据的可检测性和可识别性分析

本文对基于当前推算法的状态估计进行了可观测性分析，得到了实现可观测性的相关条件。在此基础上，分析了系统测量中不良数据的可检测性和可识别性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)

自引率

0.00%

发文量