Podrobná bibliografia
| Názov: |
Special Issue "Model Predictive Control: Algorithms and Applications": Foreword by the Guest Editor. |
| Autori: |
Ławryńczuk, Maciej |
| Zdroj: |
Algorithms; Dec2022, Vol. 15 Issue 12, p452, 3p |
| Predmety: |
PREDICTION models, ALGORITHMS, ARTIFICIAL neural networks, MONTE Carlo method, EULER equations (Rigid dynamics) |
| Abstrakt: |
Model Predictive Control (MPC) is an advanced control method that makes it possible to effectively control Multiple-Input Multiple-Output (MIMO) processes subject to different types of constraints [[1], [3]]. In the two works authored by P.M. Marusak, the proposed MPC solutions give very good control quality, close to that possible in computationally demanding MPC using nonlinear online optimisation. For MPC optimisation, a new dynamic multi-objective optimisation algorithm based on clustering and prediction is introduced. [Extracted from the article] |
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