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• W2898864805 abstract "In this article, direct at the batch process controlled by iterative learning control (ILC), it proposes a more reasonable benchmark for the control performance assessment (CPA): the model predictive control (MPC) benchmark. First, ILC-controlled batch process is converted to a 2-D Fornasini-Marchesini (FM) model. On this basis, the cost function is constructed and the optimal learning law can be found. Then the 2D MPC performance tradeoff surface for assessment is obtained. Finally, a set of simulation experiments prove the effectiveness and feasibility of the proposed method." @default.
• W2898864805 created "2018-11-09" @default.
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• W2898864805 date "2018-05-01" @default.
• W2898864805 modified "2023-09-22" @default.
• W2898864805 title "Control Performance Assessment for ILC-Controlled Batch Processes Based on MPC Benchmark" @default.
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• W2898864805 doi "https://doi.org/10.1109/ddcls.2018.8516089" @default.
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