Tradeoffs in multivariable filter design with applications to fault detection

Author

Braslavsky, J.H. ; Seron, M.M. ; Goodwin, G.C. ; Grainger, R.W.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW, Australia

Volume

2

fYear

1996

fDate

11-13 Dec 1996

Firstpage

1169

Abstract

This paper investigates sensitivity limitations in multivariable linear filtering. Integral constraints on appropriate complementary sensitivities are developed that give new insights into fundamental design tradeoffs that apply to all linear filters. These results can be used to obtain performance limitations in filtering applications where multivariable structural features are of particular interest. We illustrate our results by exploring design tradeoffs in problems of fault detection and isolation

Keywords

fault diagnosis; filtering theory; complementary sensitivities; design tradeoffs; fault detection; fault isolation; integral constraints; linear filters; multivariable filter design; multivariable linear filtering; multivariable structural features; performance limitations; sensitivity limitations; Eigenvalues and eigenfunctions; Electrical fault detection; Fault detection; Filtering; Noise measurement; Nonlinear filters; Phase estimation; Phase measurement; Poles and zeros; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on

Conference_Location

Kobe

ISSN

0191-2216

Print_ISBN

0-7803-3590-2

Type

conf

DOI

10.1109/CDC.1996.572639

Filename

572639