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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 2 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 7 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
SAC
2010
ACM
16 years 2 months ago
Adaptive internet services through performance and availability control
Cluster-based multi-tier systems provide a means for building scalable Internet services. Building adaptive Internet services that are able to apply appropriate system sizing and ...
Jean Arnaud, Sara Bouchenak
AUTOMATICA
2006
77views more  AUTOMATICA 2006»
15 years 7 months ago
Brand image and brand dilution in the fashion industry
We develop a dynamic optimal control model of a fashion designer's challenge of maintaining brand image in the face of short-term pro...t opportunities through expanded sales...
Peter M. Kort, Jonathan P. Caulkins, Richard F. Ha...
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
16 years 2 months ago
A separation principle for linear switching systems and parametrization of all stabilizing controllers
In this paper, we investigate the problem of designing a switching compensator for a plant switching amongst a (finite) family of given configurations (Ai,Bi,Ci). We assume that...
Franco Blanchini, Stefano Miani, Fouad Mesquine