Review of two non-centralized observer-based diagnosis schemes for interconnected systems

被引：4

作者：

Martinez-Villegas, Cesar T. ^{[1
]}

Theilliol, Didier ^{[1
]}

Torres, Lizeth ^{[2
]}

机构：

[1] Univ Lorraine, CRAN, UMR 7039, Vandoeuvre Les Nancy, France

[2] Univ Nacl Autonoma Mexico, CONACYT, Inst Ingn, Mexico City, DF, Mexico

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 24期

关键词：

Fault detection and isolation; Interconnected systems; Large-scale systems; Observer-based design; DISTRIBUTED FAULT-DETECTION; TIME NONLINEAR-SYSTEMS;

D O I：

10.1016/j.ifacol.2018.09.630

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The general objective of this paper is to provide a review and a qualitative comparison between two recent lines of research of observer-based non-centralized fault diagnosis techniques suited to be applied to distributed (interconnected) large-scale systems. The first line of research covered is based on unknown input observers to both decouple the effect of the interconnection among subsystems and to form a bank of observers to isolate faulty channels in a system. The second line of research analyzed is based on the use of observers with an adaptive approximation term designed to "learn" the interconnection function, which is the link that couples the dynamics from different subsystems. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：550 / 557

页数：8

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