A Risk Adjusted Approach to Robust Simultaneous Fault Detection and Isolation

Authors:	Sznaier Mario, Pennsylvania State University, United States Ma Wenjing, Pennsylvania State University, United States Lagoa Constantino, Pennsylvania State University, United States
Topic:	6.4 Safeprocess
Session:	Robust Fault Detection and Isolation
Keywords:	Fault Detection, Fault Isolation, Model (In)Validation

Abstract

In this paper we address the problem of detecting and isolatingfaults from noisy input/output measurements of a MIMOuncertain--system, subject to structured dynamic uncertainty. Themain result of the paper shows that this problem can be solved ina computationally efficient way by using a combination of samplingand LMI optimization tools. These results are illustrated using asimplified model of a flight control system.