Fault detection and isolation of nonlinear systems : an unknown input observer approach with sum-of-squares techniques

• Main Authors: Xu, Jun, Lum, Kai-Yew, Xie, Lihua, Loh, Ai-Poh
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/107330; http://hdl.handle.net/10220/17033; http://dx.doi.org/10.1115/1.4006074
• Institution: Nanyang Technological University

This paper presents a novel nonlinear unknown input observer (UIO) design method for fault detection and isolation (FDI) of a class of nonlinear affine systems. By using sum-of-squares (SOS) theory and Lie geometry as the main tools, we demonstrate how to relax the rank constraint in the traditional...