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• W2144875164 abstract "A constrained output feedback model predictive control (MPC) scheme for uncertain Norm-Bounded discrete-time linear systems is presented. This scheme extends recent results achieved by the authors under full-state availability to the more interesting case of incomplete and noisy state information. The design procedure consists of an off-line step where a state feedback and an asymptotic observer (dynamic primal controller) are designed via bilinear matrix inequalities and used to robustly stabilize a suitably augmented state plant. The on-line moving horizon procedure adds N free control moves to the action of the primal controller which are computed by solving a linear matrix inequality optimization problem whose numerical complexity grows up only linearly with the control horizon N. The effectiveness of the proposed MPC strategy is illustrated by a numerical example. Copyright © 2010 John Wiley & Sons, Ltd." @default.
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• W2144875164 date "2011-04-17" @default.
• W2144875164 modified "2023-10-18" @default.
• W2144875164 title "Output feedback model predictive control of uncertain norm-bounded linear systems" @default.
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• W2144875164 doi "https://doi.org/10.1002/rnc.1629" @default.
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