DocumentCode :
1715661
Title :
Ordinal comparison for computation reduction in control of discrete event systems
Author :
Martinelli, Francesco ; Nicosia, Salvatore ; Valigi, Paolo
Author_Institution :
Dipt. di Inf., Sistemi e Produzione, Rome Univ., Italy
Volume :
2
fYear :
1998
Firstpage :
920
Abstract :
A stochastic optimization problem for discrete event dynamic systems is addressed and solved by means of concurrent estimation and ordinal comparison. A performance function defined on the system must be optimized by choosing an appropriate resource allocation. An analytical expression of the objective function is not available, and concurrent estimation is used to estimate it. The approach proposed in this paper, which can be applied more easily than the methods presented previously, exploits the fast convergence rate of order statistics in order to reduce computation effort
Keywords :
convergence of numerical methods; discrete event systems; estimation theory; optimisation; production control; resource allocation; convergence; discrete event systems; kanban system; manufacturing systems; objective function; order statistics; production control; resource allocation; stochastic optimization; Communication system control; Computer aided manufacturing; Control systems; Convergence; Discrete event systems; Manufacturing systems; Mean square error methods; Resource management; Statistics; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
Type :
conf
DOI :
10.1109/CCA.1998.721592
Filename :
721592
Link To Document :
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