Title :
Fault detection and isolation for switched linear systems: A switched Lyapunov function approach
Author :
Zhao, Xin-Gang ; Li, Jian ; Ye, Dan
Author_Institution :
State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
Abstract :
This paper is concerned with the problem of fault detection and isolation (FDI) for discrete-time switched systems under an arbitrary switching signal. A family of fault detection and isolation filters is designed. In virtue of the frequency of the faults in a given range, the finite-frequency H- performance for the switched system is firstly defined. Based on a switched Lyapunov functional approach, a procedure of FDI filters synthesis is established by Linear matrix inequalities (LMIs), and the filter gains are characterized in terms of the solution of a convex optimization problem. A numerical example is used to demonstrate the effectiveness of the proposed design method.
Keywords :
convex programming; discrete time filters; fault diagnosis; linear matrix inequalities; linear systems; time-varying filters; FDI filters synthesis; LMI; arbitrary switching signal; convex optimization; discrete time switched system; fault detection; fault isolation; isolation filter; linear matrix inequality; switched Lyapunov function approach; switched linear system; Educational institutions; Fault detection; Lyapunov methods; Sensitivity; Switched systems; Switches; Symmetric matrices; Fault detection and isolation; Linear matrix inequality; switched Lyapunov function; switched systems;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358171