: For the past year, we have been assembling requirements from a collection of scientific data base users from astronomy, particle physics, fusion, remote sensing, oceanography, an...
Michael Stonebraker, Jacek Becla, David J. DeWitt,...
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
We propose an adaptive algorithm for control of combustion instability suitable for reduction of acoustic pressure oscillations in gas turbine engines, and main burners and augmen...
Andrzej Banaszuk, Kartik B. Ariyur, Miroslav Krsti...