Title :
Remarks on stochastic model reduction
Author_Institution :
University of Minnesota, Minneapolis, MN, USA
fDate :
4/1/1987 12:00:00 AM
Abstract :
In this note, we give a solution to the stochastic system model reduction problem in terms of the approximation of the output stochaslic process power spectrum by applying balanced realization or optimal Hankel norm approximation to the asymptotically stable and minimum phase spectral factor. We also give explicit bounds for the approximation error. The effectiveness of this method is compared to the one by Jonckheere and Helton.
Keywords :
Linear systems, stochastic; Reduced-order systems, linear; Stochastic systems, linear; Communication system control; Differential equations; Digital signal processing; Filters; Gold; Integral equations; Reduced order systems; Riccati equations; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1987.1104596