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- W2038999397 abstract "A new generalized predictive control (GPC) algorithm is presented, which makes use of the concept of output end-point weightings. The aim of the algorithm is a reduced computational burden with respect to the state end-point weighted GPC and a relaxation of the infinite output weighting of constrained receding horizon predictive control. The new output end-point weighted GPC algorithm is developed using the polynomial approach. After a proof of nominal stability the relation of Kalman filtering and predictive control is derived. A final simulation of a benchmark example emphasizes the reduced computational burden and the enhanced stochastic tracking capability." @default.
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- W2038999397 modified "2023-10-18" @default.
- W2038999397 title "Output end-point weighted generalized predictive control-a polynomial approach" @default.
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- W2038999397 doi "https://doi.org/10.1109/acc.1999.783179" @default.
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