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...
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
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 ...
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...
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...