Robustification of nonlinear model predictive control

Name: Robustification of nonlinear model predictive control
Brand: LAP Lambert Academic Publishing
SKU: 9783659977411
Price: 310.25 RON
Availability: InStock

Autor: Seif Eddine Benattia

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Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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This work deals with the problem of trajectory tracking for a nonlinear system with unknown but boun...

Informații despre carte

Autor

Seif Eddine Benattia

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

204

EAN

9783659977411

Enbook ID

15476000

Editura

LAP Lambert Academic Publishing

Greutate

322

Dimensiuni

150 x 220 x 12

Descriere completă

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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