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2015

Asymptotic stability of POD based model predictive control for a semilinear parabolic PDE

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Asymptotic stability of POD based model predictive control for a semilinear parabolic PDE
In this article a stabilizing feedback control is computed for a semilinear parabolic partial differential equation utilizing a nonlinear model predictive (NMPC) method. In each level of the NMPC algorithm the finite time horizon open loop problem is solved by a reduced-order strategy based on proper orthogonal decomposition (POD). A stability analysis is derived for the combined PODNMPC algorithm so that the lengths of the finite time horizons are chosen in order to ensure the asymptotic stability of the computed feedback controls. The proposed method is successfully tested by numerical examples.
Alessandro Alla, Stefan Volkwein
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ADCM
Authors Alessandro Alla, Stefan Volkwein
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