17th International Symposium on
Mathematical Theory of Networks and Systems
Kyoto International Conference Hall, Kyoto, Japan, July 24-28, 2006

MTNS 2006 Paper Abstract

Close

Paper FrP09.4

mazars, emmanuel (Imperial Coll. London), Jaimoukha, Imad (Imperial Coll. London), Li, Zhenhai (Imperial Coll. London)

An LMI Approach to the Robust Fault Detection and Isolation

Scheduled for presentation during the Regular Session "Convex Optimization II" (FrP09), Friday, July 28, 2006, 16:35−17:00, Room J

17th International Symposium on Mathematical Theory of Networks and Systems, July 24-28, 2006, Kyoto, Japan

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Multiobjective optimization, Uncertain systems, Optimal control

Abstract

This paper considers the robust fault detection and isolation (FDI) problem for uncertain linear time-invariant (LTI) systems. An FDI filter minimizes the sensitivity of the residual signal to disturbances and modeling errors subject to the constraint that the transfer matrix function from the faults to the residual is close to a diagonal matrix (for fault isolation). A solution of the optimization problem is presented via the formulation of linear matrix inequalities (LMI). A jet engine example is employed to demonstrate the effectiveness of our results.