Residual Filter Design Using Computational Mathematics Methods

Author

Filasová, A. ; Krokavec, D.

Author_Institution

Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice

fYear

2008

fDate

27-29 Nov. 2008

Firstpage

95

Lastpage

100

Abstract

Reformulated principle for designing a fault residual filter for continuous-time linear MIMO system, based on computational mathematics methods, is treated in this paper. The problem addressed can be indicated as an approach given sufficient conditions for stable residual filter design based on Lyapunov function. Two linear matrix inequalities are outlined to posses stable residual filter structure closest to unknown input observer based residual filter. A structural system model example is presented to illustrate properties of proposed design method.

Keywords

Lyapunov methods; MIMO systems; continuous time systems; control system synthesis; fault diagnosis; filtering theory; linear matrix inequalities; linear systems; stability; Lyapunov function; computational mathematics methods; continuous-time linear MIMO system; fault residual filter; linear matrix inequality; stable residual filter design; stable residual filter structure; structural system model; sufficient conditions; Fault detection; Lyapunov inequality; convex optimization; linear matrix inequalities; residual filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Cybernetics, 2008. ICCC 2008. IEEE International Conference on

Conference_Location

Stara Lesna

Print_ISBN

978-1-4244-2874-8

Electronic_ISBN

978-1-4244-2875-5

Type

conf

DOI

10.1109/ICCCYB.2008.4721386

Filename

4721386