Modelling of uncertain systems with application to robust process control
| Autor: | Tore K. Gustafsson, P.M. Mäkilä |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Mathematical optimization
Linear programming Computer science Industrial and Manufacturing Engineering Computer Science Applications Model predictive control Control and Systems Engineering Control theory Fractionating column Modeling and Simulation A priori and a posteriori Process control Sensitivity analysis Uncertainty analysis Data compression |
| Zdroj: | Journal of Process Control. 11:251-264 |
| ISSN: | 0959-1524 |
| DOI: | 10.1016/s0959-1524(00)00040-8 |
| Popis: | A method for black-box identification of uncertain systems is presented. The method identifies a nominal model and an uncertainty model set, consisting of unfalsified uncertainty models. Minimisation of a Chebyshev criterion leads to computationally favourable linear programming problems and allows the possibility to include a priori information in the form of linear constraints without making the computations more complex. Using data compression via correlation computations solves the computation problem associated with identifying unfalsified uncertainty models. The application of set-valued uncertainty models to robust process control is illustrated in a simulation study of robust model predictive control of a distillation column. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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