Title :
On computer requirement reductions in linear-discrete system state estimation
Author_Institution :
University of Illinois, Chicago, IL, USA
fDate :
2/1/1972 12:00:00 AM
Abstract :
A procedure is presented for reducing the on-line computing time and storage requirements when estimating the state of a class of linear-discrete systems.
Keywords :
Linear systems, time-invariant discrete-time; State estimation; Delay systems; Filtering; Hardware; Kalman filters; Linear systems; State estimation; Vectors; Yield estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1972.1099897
