View source for Model Reduction and System Identification for Master Equation Control Systems

{{HTDB paper
| authors = Martha A. Gallivan and Richard M. Murray
| title = Model Reduction and System Identification for Master Equation Control Systems
| source = 2003 American Control Conference
| year = 2002
| type =  Conference 
  Paper
| funding = ARO/femuri
| url = http://www.cds.caltech.edu/~murray/preprints/gm03-acc.pdf
| abstract = 
A master equation describes the continuous-time evolution of a probability distribution, and
is characterized by a simple bilinear structure and an often-high dimension. We develop a
model reduction approach in which the number of possible confiurations and corresponding
dimension is reduced, by removing improbable configurations and grouping similar ones. Error
bounds for the reduction are derived based on a minimum and maximum time scale of interest.
An analogous linear identification procedure is then presented, which computes the state and
output matrices for a predetermined configuration set. These ideas are demonstrated first in
a finite-dimensional model inspired by problems in surface evolution, and then in an infinite-
dimensional film growth master equation.
| flags = 
| tag = gm03-acc
| id = 2002v
}}