Title :
Coefficient sensitivity of state-space digital filters derived using balanced model truncation
Author :
Mackenzie, J.P. ; Kale, I. ; Cain, G.D.
Author_Institution :
Sch. of Electron. & Manuf. Syst. Eng., Westminster Univ., London, UK
fDate :
7/18/1996 12:00:00 AM
Abstract :
The issue of coefficient sensitivity in digital filters derived using the technique of balanced model truncation is investigated. It is known that balanced systems have minimal sensitivity and we present some simulation results which show that subsequent truncation generates only a negligible deviation from this minimum. This is a desirable situation when designing reduced-order state-space digital filters
Keywords :
digital filters; reduced order systems; sensitivity analysis; state-space methods; balanced model truncation; coefficient sensitivity; minimal sensitivity; reduced-order digital filters; simulation results; state-space digital filters;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19960918
