DocumentCode
2247453
Title
Robust invariant set theory applied to networked buffer-level control
Author
Borrelli, Francesco ; Vecchio, Carmen Del ; Parisio, Alessandra
Author_Institution
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
2111
Lastpage
2116
Abstract
A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical problem of determining stock levels guaranteeing that a stochastic bounded demand is always satisfied. A simple n-th integrator model with additive disturbances is employed. Invariant set theory for linear and switched linear systems is used to compute robust positive invariant sets and controlled robust invariant sets for two commonly used scheduling policies. This paper provides the explicit expression of the invariant sets for any arbitrary n.
Keywords
linear systems; robust control; set theory; controlled robust invariant sets; external stochastic demand; networked buffer-level control; robust invariant set theory; robust positive invariant sets; safety stocks; scheduling policy; stochastic bounded demand; stock levels; switched linear systems; Additives; Control systems; Job shop scheduling; Manufacturing; Optimal scheduling; Production; Robust control; Safety; Set theory; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4739079
Filename
4739079
Link To Document