Title :
On the inversion of linear systems
Author :
Weinert, Howard L.
Author_Institution :
John Hopkins University, Baltimore, MD, USA
fDate :
10/1/1984 12:00:00 AM
Abstract :
For a known linear system, we show how to parametrize the set of all possible inputs and initial states that could produce a given output, and how to compute any member of this set without differentiating the output. The structural similarity between minimum-norm system inversion and fixod-interval smoothing is examined.
Keywords :
Inverse problems, linear; Algebra; Data compression; Kalman filters; Linear systems; Smoothing methods; State estimation; Statistical analysis; Statistical distributions; Sun; Testing;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1984.1103396
