Modeling and optimization of transportation systems I am pleased to write a short editorial for this special issue, which highlights several areas of strength of the Journal of Advanced Transportation such as public transport and airport systems, transportation planning, techniques of transport syst
Scenario-integrated modeling and optimization of dynamic systems
β Scribed by O. Abel; W. Marquardt
- Publisher
- American Institute of Chemical Engineers
- Year
- 2000
- Tongue
- English
- Weight
- 307 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Assessing the consequences of exceptional events, such as failures and sudden changes in product demand or rawβmaterial prices, is of great importance to the operation of chemical processes. Such an exceptional event and the resulting behavior of the process are called a scenario in this article. Problem formulations for their rigorous incorporation into the optimization of dynamic systems are presented. They allow the determination of operational strategies that are economically optimal and that keep the plant within a chosen regime in the state space, even for a number of possible scenarios. The formulations are based on a unifying model framework containing both continuous and discrete dynamics. For a restricted class of problems a method for the numerical solution of the resulting scenarioβintegrated dynamic optimization problems is introduced. The applicability of this technique is demonstrated with two examples of different complexity.
π SIMILAR VOLUMES
A state-space model of a discharge air system (DAS) is developed. Simulation results obtained from the developed model compare well with the published experimental data. The optimal control strategies and optimal performance of DAS to step changes in setpoints are given for two cases: a heating cas
We discuss applications of the fact that dynamical state information can be reconstructed from a series of interspike interval (ISI) measurements. This system analysis allows system identification and prediction from spike train history. Secondly, using this reconstruction, unstable periodic traject