]> 2026-04-26T05:31:21+00:00 Model Reduction and System Identification for Master Equation Control Systems 0 en 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. Martha A. Gallivan and Richard M. Murray 2002v 2003 American Control Conference gm03-acc Conference Paper 2016-05-15T06:18:49Z 2457523.7630671 Model Reduction and System Identification for Master Equation Control Systems Title 102 en Title