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Adaptive model predictive control for constrained linear systems

Author(s):

M. Tanaskovic, L. Fagiano, R. S. Smith, P.J. Goulart, M. Morari
Conference/Journal:

European Control Conference (ECC), Zurich, Switzerland, pp. 382-387
Abstract:

A novel adaptive output feedback control technique for uncertain linear systems is proposed, able to cope with input and output constraints and measurement noise. At each time step, the collected input-output data are exploited to refine the set of models that are consistent with the available information on the system. Then, the control input is computed according to a receding horizon strategy, which guarantees recursive constraint satisfaction for all the admissible models, hence also for the actual plant. The technique relies only on the solution of linear and quadratic programs. The effectiveness of the approach is illustrated in a numerical example.

Year:

2013
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { TanEtal:2013:IFA_4337,
    author={M. Tanaskovic and L. Fagiano and R. S. Smith and P.J. Goulart and M.
	  Morari},
    title={{Adaptive model predictive control for constrained linear
	  systems}},
    booktitle={European Control Conference (ECC)},
    pages={382--387},
    year={2013},
    address={Zurich, Switzerland},
    month=jul,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4337}
}
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