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- W1591497265 abstract "An off-line Model Predictive Control (MPC) method based on ellipsoidal calculus and viability theory is described in order to address feedback regulation problems for input-saturated multi-model Linear Parameter Varying (LPV) systems. In order to reduce the computational burdens and the conservativeness of traditional robust MPC schemes, the proposed approach makes use of a scheduling linear control law which is based on a tighter refinement of the state trajectories tube. The control inputs are on-line obtained as the solutions of simple and numerically low-demanding optimization problems subject to set-membership constraints. The measurable plant parameters are directly used for feedback purposes. A numerical example is presented in order to show the benefits of the proposed regulation strategy and contrasted with a robust paradigm (the LPV hypothesis is not taken into account) and with a fast MPC algorithm for LPV systems which exploits a more traditional and conservative refinement of the state trajectory tube." @default.
- W1591497265 created "2016-06-24" @default.
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- W1591497265 date "2009-08-01" @default.
- W1591497265 modified "2023-10-18" @default.
- W1591497265 title "An off-line MPC scheme for discrete-time linear parameter varying systems" @default.
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- W1591497265 doi "https://doi.org/10.23919/ecc.2009.7074698" @default.
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