Decentralized reduced-order filters

Author

Bailey, Mark A. ; Sims, Craig S.

Author_Institution

Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA

Volume

26

Issue

2

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

254

Lastpage

262

Abstract

Continuous and discrete methods of designing simple reduced-order local filters within a large-scale network are suggested. The filters are designed to estimate only the local variables of interest and not the entire state vector. The method has the advantage that one need not know the mathematical models of the subsystems generating the interconnection variables. The order of the filter can be small enough so that there is no computational burden associated with the filter. The disadvantage of the method is that performance is lost by using a reduced-order filter instead of a full-order filter. An example that demonstrates one application in the aerospace industry is presented

Keywords

aerospace control; filtering and prediction theory; network synthesis; aerospace industry; continuous method; design; discrete methods; large-scale network; local variables; reduced-order local filters; Aerospace industry; Application software; Design methodology; Equations; Filtering; Filters; Large-scale systems; Noise measurement; State estimation; White noise;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.53458

Filename

53458