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Subspace Predictive Control for General Dual-Rate Sampled-Data Systems

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Abstract In this paper a novel predictive control design method is proposed. Using a modified subspace state-space identification algorithm, lifted state-space models for general dual-rate systems is identifie...d from the input-output data. Based on the estimated lifted system matrices, we establish two predictors which realize the prediction of the output of general dual-rate systems. Then the predictors are applied to predictive control design subject to a linear quadratic cost function for general dual-rate systems.show more

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Created Date 2016.05.06
Modified Date 2020.11.02

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