14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThA3.5

Hallouzi, Redouane (Delft Univ. of Tech.), Verhaegen, Michel (Delft Univ. of Tech.), Babuska, Robert (Delft Univ. of Tech.), Kanev, Stoyan (Tech. Univ. of Delft)

Model Weight and State Estimation for Multiple Model Systems Applied to Fault Detection and Identification

Scheduled for presentation during the Regular Session "Identification and detection methods with applications" (ThA3), Thursday, March 30, 2006, 11:50−12:10, Hunter Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Fault Detection and Diagnosis, Filtering and Smoothing, Mechanical and Aerospace


A method is proposed for estimating both the weights and the state of a multiple model system with one common state vector. In this system, the weights are related to the activation of each individual model. For the resulting nonlinear estimation problem a method is developed that efficiently decomposes the total problem into two separate parts, one for estimating the model weights and one for estimating the state. The method has been validated on a component, actuator and sensor fault detection and identification problem for a linearized model of an aircraft.