Paper Info
Title
“Store and retrieve” representations of dynamic systems motivated by studies in gas phase chemical kinetics
Abstract
This paper explores the advantages and highlights the potential limitations of using off line information to generate approximations of dynamic systems. The procedure is presented in the context of existing approaches motivated by studies in chemical kinetics. Store and retrieve approaches utilize previously generated information about the kinetic evolution of the reaction system in order to build implicit approximations. The unstructured data reside in memory and computational algorithms, detecting nearest neighbors, are used to define a region around a novel query point. The properties of the query point are determined by linear regression of the stored information. The examples we considered are designed to address the merits of the approach as well as the fundamental issues that warrant further research.
Year
DOI
Venue
2004
10.1016/j.compchemeng.2004.02.038
Computers & Chemical Engineering
Keywords
Field
DocType
Store and retrieve,Dynamic systems,Gas phase chemical kinetics
Mathematical optimization,Off line,Computer science,Reaction system,Unstructured data,Theoretical computer science,Dynamical system
Journal
Volume
Issue
ISSN
28
11
0098-1354
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
Ioannis P. Androulakis1879.42