- Tytuł:
- Optimizing control by robustly feasible model predictive control and application to drinkingwater distribution systems
- Autorzy:
-
Tran, V. N.
Brdys, M. A. - Tematy:
-
optimizing
model predictive control
MPC
Robustly Feasible MPC
RFMPC
Drinking
Water Distribution Systems
DWDS
genetic algorithm - Pokaż więcej
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Powiązania:
- https://bibliotekanauki.pl/articles/91723.pdf Link otwiera się w nowym oknie
- Opis:
- The paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs in the controlled plant. The RFMPC which is applied to control quantity in Drinking Water Distribution Systems (DWDS) is illustrated by application to the DWDS example. In the simulation exercise, Genetic Algorithm is selected as the optimization solver and the reduced search space methodology is applied in the implementation under MATLABEPANET environment.
- Dostawca treści:
- Biblioteka Nauki
Artykuł