Title :
Fault detection for nonlinear systems - a standard problem approach
Author :
Stoustrup, Jakob ; Niemann, Henrik
Author_Institution :
Dept. of Control Eng., Aalborg Univ., Denmark
Abstract :
The paper describes a general method for designing (nonlinear) fault detection and isolation (FDI) systems for nonlinear processes. For a rich class of nonlinear systems, a nonlinear FDI system can be designed using convex optimization procedures. The proposed method is a natural extension of methods based on the extended Kalman filter
Keywords :
Kalman filters; fault diagnosis; nonlinear systems; optimisation; Kalman filter; convex optimization; fault detection; fault diagnosis; fault isolation; nonlinear systems; Automation; Buildings; Control engineering; Councils; Design methodology; Design optimization; Detectors; Fault detection; Nonlinear systems; Vectors;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760596
