Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bernd Mahn"'
Publikováno v:
Control Engineering Practice. 15:839-850
The paper illustrates the benefits of nonlinear model predictive control (NMPC) for the setpoint tracking control of an industrial batch polymerization reactor. Real-time feasibility of the on-line optimization problem from the NMPC is achieved using
Publikováno v:
Scopus-Elsevier
Batch processes play a significant role in the production of most modern high-value added products. The paper illustrates the benefits of nonlinear model predictive control (NMPC) for the setpoint tracking control of an industrial batch polymerizatio
Autor:
Gunter Reinig, Bernd Mahn
Publikováno v:
IFAC Proceedings Volumes. 37:809-814
The large number of various advanced control strategies (e.g. Model Predictive Control. Neural Networks or Fuzzy Control) and the lack of a practically usable selection methodology make it very difficult to choose an appropriate strategy for a given
Autor:
Bernd Mahn, Gunter Reinig
Publikováno v:
IFAC Proceedings Volumes. 33:39-44
In the last decades, the area of process control was focused on the development of new and more efficient control systems. The large number of advanced control strategies and the lack of a practical selection methodology makes the choice of an approp
Publikováno v:
Assessment and Future Directions of Nonlinear Model Predictive Control ISBN: 9783540726982
The application of nonlinear model predictive control (NMPC) for the temperature control of an industrial batch polymerization reactor is illustrated. A real-time formulation of the NMPC that takes computational delay into account and uses an efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adbece7eff681ff78b96c777220b37d3
https://doi.org/10.1007/978-3-540-72699-9_38
https://doi.org/10.1007/978-3-540-72699-9_38
Publikováno v:
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.
Publikováno v:
Chemie Ingenieur Technik. 77:1101-1101