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• W2029386001 abstract "This paper addresses the issue of the practical implementation of closed-form Model Predictive Controllers (MPC) to processes with very short sampling times. Such questions come in consideration when the solution to MPC problems is expressed in a so-called parametric or closed-form fashion. The underlying idea of this paper is to approximate the optimal control law defined over state space regions by a higher degree polynomial which then guarantees closed-loop stability, constraint satisfaction, and a bounded performance decay. The advantage of the proposed scheme lies in faster controller evaluation and lower storage demand compared to currently available techniques." @default.
• W2029386001 created "2016-06-24" @default.
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• W2029386001 date "2008-01-01" @default.
• W2029386001 modified "2023-10-16" @default.
• W2029386001 title "Polynomial Approximation of Closed-form MPC for Piecewise Affine Systems" @default.
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• W2029386001 doi "https://doi.org/10.3182/20080706-5-kr-1001.00652" @default.
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