We present a scalable, hierarchical control system for the dynamic resource management of a distributed real-time embedded (DRE) system. This DRE is inspired by the DARPA Adaptive...
Kurt Rohloff, Yarom Gabay, Jianming Ye, Richard E....
Database performance can be greatly affected by environmental and internal dynamics such as workloads and system configurations. Existing strategies to maintain performance under ...
Yi-Cheng Tu, Song Liu, Sunil Prabhakar, Bin Yao, W...
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Abstract. In this paper we show how hybrid control and modeling techniques can be put to work for solving a problem of industrial relevance in Surface Mount Technology (SMT) manufa...
Leandro G. Barajas, Ashish Kansal, Abhinav Saxena,...