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Více informací o knize Robustification of nonlinear model predictive control

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• Anotace
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Anotace knihy

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.

Parametry knihy

• Plný název: Robustification of nonlinear model predictive control
• Autor: Seif Eddine Benattia
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 204
• EAN: 9783659977411
• ID: 15476000
• Nakladatelství: LAP Lambert Academic Publishing
• Hmotnost: 322 g
• Rozměry: 220 × 150 × 12 mm
• Rok vydání: 2016

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