DocumentCode :
2537427
Title :
Markov approximations for large-scale augmented vector state spaces
Author :
Scherer, William T. ; Plummer, Robert J.
Author_Institution :
Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA
fYear :
1993
fDate :
17-20 Oct 1993
Firstpage :
203
Abstract :
In this paper we explore the errors associated with an inappropriate Markov assumption or approximation. We examine problems where the Markovian property is known to be true for a certain level of augmentation and is then approximated by a reduced state space. The focus of this paper is on the structural characteristics of the Markov chain for the augmented problem and preliminary analysis of the error measurement
Keywords :
Markov processes; large-scale systems; modelling; Markov approximations; error measurement; large-scale augmented vector state spaces; preliminary analysis; reduced state space; Bridges; Decision making; Error analysis; Large-scale systems; Roads; Space exploration; State-space methods; Systems engineering and theory; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
Type :
conf
DOI :
10.1109/ICSMC.1993.384746
Filename :
384746
Link To Document :
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