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SUMMARY:Stabilizing MPC for Constrained Systems with Changing Set-points.
DTSTART:20111014T101500
DTSTAMP:20260406T194503Z
UID:78f3c943861f912780f0854e88e2fbb9e01dc1ae4819fa50574e6159
CATEGORIES:Conferences - Seminars
DESCRIPTION:Pr. D. Limon\, Department of Systems Engineering and Automatic
  Control\, University of Sevilla\, Spain.\nThe stabilizing design of model
  predictive controllers typically requires the addition of a suitable term
 inal cost function and terminal constraint in the optimization problem. Th
 ese ingredients can ensure asymptotic stability and recursive feasibility 
 of the controlled system.\nHowever\, if the set-point to be tracked is cha
 nged\, the feasibility can be lost and the stabilizing design may fail.\nT
 he objective of the talk is to illustrate this problem and present a novel
  predictive control technique capable to ensure closed loop asymptotic sta
 bility and recursive feasibility under changing set-points.\nThis techniqu
 e\, known as MPC for tracking\, can be applied to linear and non-linear sy
 stems. Another interesting properties as\, for instance\, the enlargement 
 of the domain of attraction or the convergence to the optimal steady state
  in case of unreachable set-points\, will be also presented.
LOCATION:ME C2 405
STATUS:CONFIRMED
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