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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 3 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
TJS
2010
117views more  TJS 2010»
13 years 3 months ago
Adaptive service scheduling for workflow applications in Service-Oriented Grid
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...
Sung-Ho Chin, Taeweon Suh, Heon-Chang Yu
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 8 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
AAAI
2007
13 years 11 months ago
MasDISPO: A Multiagent Decision Support System for Steel Production and Control
In the majority of cases, steel production constitutes the inception of the Supply Chains they are involved just as in automotive clusters or aerospace. Steel manufacturing compan...
Sven Jacobi, Esteban León-Soto, Cristi&aacu...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 9 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking