Robustification of nonlinear model predictive control

Name: Robustification of nonlinear model predictive control
Brand: LAP Lambert Academic Publishing
SKU: 9783659977411
Price: 59.51 EUR
Availability: InStock

Автор: Seif Eddine Benattia

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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59.51 € 116.38 лв

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

Информация за книгата

Автор

Seif Eddine Benattia

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

204

EAN

9783659977411

Enbook ID

15476000

Издател

LAP Lambert Academic Publishing

Теглоt

322

Размери

150 x 220 x 12

Пълно описание

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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