Review of two non-centralized observer-based diagnosis schemes for interconnected systems⁎. Issue 24 (2018)

• Record Type: Journal Article
• Authors: Martínez-Villegas, César T.; Theilliol, Didier; Torres, Lizeth
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 24(2018)
• Page Start: 550
• Page End: 557
• Publication Date: 2018
• Subjects: Fault detection -- isolation -- Interconnected systems -- Large-scale systems -- Observer-based design; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.09.630
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.