Abstract:
Model reduction methods from diverse fields-including control, statistical mechanics and economics-aimed at systems that can be represented by Markov chains, are discusse...Show MoreMetadata
Abstract:
Model reduction methods from diverse fields-including control, statistical mechanics and economics-aimed at systems that can be represented by Markov chains, are discussed in terms of their general properties and common features. These methods include decomposability, optimal prediction techniques, and Mori-Zwanzig representations. Our objective in this paper is to present a survey of and highlight connections between the approaches pursued in different fields, and demonstrate application of the methods on a set of well-known examples.
Published in: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
Date of Conference: 15-18 December 2009
Date Added to IEEE Xplore: 29 January 2010
ISBN Information: