Książka Robustification of nonlinear model predictive control Seif Eddine Benattia

Robustification of nonlinear model predictive control

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
239.99
This work deals with the problem of trajectory tracking for a nonlinear system with unknown but boun...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2016
strony
204
EAN
9783659977411
Enbook ID
15476000
Waga
322
Wymiary
150 x 220 x 12

Pełny opis

This work deals with the problem of trajectory tracking for a nonlinear system with unknown but bounded model parameters uncertainties. First, this work focuses on the design of classical robust nonlinear model predictive control (RNMPC) law subject to model parameters uncertainties implying solving min-max optimization problem. Secondly, a new approach is proposed, consisting in approaching the basic min-max problem into a more tractable optimization problem based on the use of linearization techniques, to ensure a good trade-off between tracking accuracy and computation time. The robust stability of the closed-loop system is addressed. The developed strategy is applied in simulation to a simplified macroscopic continuous photobioreactor model and is compared to the RNMPC controller. Its efficiency is illustrated through numerical results and robustness against parameter uncertainties.

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