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Robust Model Predictive Control with Integral Sliding Mode in Continuous-Time Sampled-Data Nonlinear Systems

Author(s):

M. Rubagotti, D. M. Raimondo, Antonella Ferrara, Lalo Magni
Conference/Journal:

IEEE Transactions on Automatic Control, vol. 56, no. 3, pp. 556 - 570
Abstract:

This paper proposes a control strategy for nonlinear constrained continuous-time uncertain systems which combines robust Model Predictive Control with Sliding Mode Control. In particular, the so-called Integral Sliding Mode control approach is used to produce a control action aimed to reduce the difference between the nominal predicted dynamics of the closed-loop system and the actual one. In this way, the Model Predictive Control strategy can be designed on a system with a reduced uncertainty. In order to prove the stability of the overall control scheme, some general regional Input-to-State practical Stability results for continuous-time systems are proved.

Year:

2011
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { RubEtal:2011:IFA_3602,
    author={M. Rubagotti and D. M. Raimondo and Antonella Ferrara and Lalo Magni},
    title={{Robust Model Predictive Control with Integral Sliding Mode
	  in Continuous-Time Sampled-Data Nonlinear Systems}},
    journal={IEEE Transactions on Automatic Control},
    year={2011},
    volume={56},
    number={3},
    pages={556 -- 570},
    month=mar,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=3602}
}
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