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• W2576470145 abstract "In order to deal with constrained characteristics in the closed-loop industrial processes, a constrained applied predictive control(CAPC) method based on closed-loop subspace identification is proposed. The state-space model is obtained through the closed-loop subspace identification algorithm, which is regarded as the system model. Then, the model is used to design the model predictive controller which involves the solution of a quadratic program solving constraints. The paper presents a comparison of performance given by proposed control method when applied to a 2-CSTR system with an open-loop subspace CAPC method, the superiority of the proposed method is illustrated through the simulation results." @default.
• W2576470145 created "2017-01-26" @default.
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• W2576470145 date "2016-11-01" @default.
• W2576470145 modified "2023-09-24" @default.
• W2576470145 title "Constrained applied predictive control based on closed-loop subspace identification" @default.
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• W2576470145 doi "https://doi.org/10.1109/icam.2016.7813603" @default.
• W2576470145 hasPublicationYear "2016" @default.
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