CCE
2008
13 years 9 months ago
2008
Simulated Moving Bed (SMB) processes are widely used in sugar, petrochemical, and pharmaceutical industries. However, systematic optimization of SMB, especially finding the optima...
CCE
2008
13 years 9 months ago
2008
A simple optimal balance control scheme for electrolyzation plants is proposed. It can be realized through the use of a commercially available model predictive control (MPC) packa...
CCE
2008
13 years 10 months ago
2008
Transport and separation processes in ionic systems located in the porous medium are investigated. The software for the modeling of the combined electroosmotic, migration, diffusi...
CCE
2008
13 years 10 months ago
2008
Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become very complex. This paper presents the Timed Hybrid Petri net (THPN) as a suitable t...
CCE
2008
13 years 11 months ago
2008
We present a novel approach for solving different design problems related to single products in multipurpose batch plants: the selection of one production line out of several avai...
CCE
2008
13 years 11 months ago
2008
A central problem in bioinformatics and systems biology is the selection of appropriate models in a rational and systematic way. This fundamentally combinatorial problem can be re...
CCE
2008
13 years 11 months ago
2008
The purpose of this paper is to evaluate the hypothesis that a systems biology approach can be developed such that a set of transcription factors, relevant to burn-induced inflamm...
CCE
2008
13 years 11 months ago
2008
Administration of certain drugs at a steady rate results in deterioration of drug effect, also known as drug tolerance. Periodic delivery is an attractive option for minimizing to...
CCE
2008
13 years 11 months ago
2008
We describe flexible optimization models for the production and distribution of liquefied atmospheric gases. A simulation engine that interacts with the optimization models is use...
CCE
2008
13 years 11 months ago
2008
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...