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- W71663903 abstract "The characterization of the class of stabilizing predictions for linear systems allows for predictive control algorithms which interpolate linearly between some key predicted input trajectories. Such interpolation endows the closed-loop system with desirable attributes even when a small number of degrees of freedom is used. This paper explores the ideas behind interpolation and extends them to the case of predictive control of nonlinear systems by proposing an effective yet computationally undemanding strategy." @default.
- W71663903 created "2016-06-24" @default.
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- W71663903 date "2000-01-01" @default.
- W71663903 modified "2023-10-17" @default.
- W71663903 title "Stability, Feasibility, Optimality and the Degrees of Freedom in Constrained Predictive Control" @default.
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- W71663903 doi "https://doi.org/10.1007/978-3-0348-8407-5_5" @default.
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