A risk adjusted approach to robust simultaneous fault detection and isolation

Wenjing Ma, Mario Sznaier, Constantino Lagoa

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

This paper addresses the problem of detecting and isolating faults in noisy MIMO uncertain-systems, subject to structured dynamic uncertainty. Its main result shows that this problem can be efficiently solved using a combination of sampling and LMI optimization tools. These results are illustrated with two examples and benchmarked against existing methods.

Original languageEnglish (US)
Pages (from-to)499-504
Number of pages6
JournalAutomatica
Volume43
Issue number3
DOIs
StatePublished - Mar 2007

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A risk adjusted approach to robust simultaneous fault detection and isolation'. Together they form a unique fingerprint.

Cite this