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- W2154651124 abstract "In this paper, a fast tube-based algorithm is proposed for robust model predictive control (RMPC) using an uncertain finite step response (FSR) input-output model with time-invariant bounded uncertainty. The use of an FSR model, in place of the high-dimensional state-space model, allows the assurance of good performance while dramatically reducing the online cost of the controller. Bounds on the uncertain FSR coefficients are computed offline from the high-dimensional model or by performing step tests in the plant. Using these bounds, a tube-based RMPC algorithm is employed to guarantee the practical stability of the closed-loop system. The practicality of the algorithm is demonstrated by application to an infinite-dimensional example inspired by the field of tissue engineering." @default.
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- W2154651124 date "2015-07-01" @default.
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- W2154651124 title "Fast robust model predictive control of high-dimensional systems" @default.
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- W2154651124 doi "https://doi.org/10.1109/ecc.2015.7330834" @default.
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