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Computationally efficient NMPC for batch and semi-batch processes using parsimonious input parameterization

机译:使用解析输入参数化计算批量和半批处理的计算上的NMPC

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摘要

The trend towards high-quality, low-volume chemical production has put more emphasis on batch and semi-batch processing due to its increased operational flexibility. The transient behavior of these processes makes their real-time optimization very challenging. In particular, the large prediction horizons required in shrinking-horizon NMPC increase the real-time computational effort due to expensive matrix factorizations.
机译:由于其在运行灵活性提高,高质量,低批量化学生产的趋势使得批量和半批量加工更加强调。 这些过程的瞬态行为使其实时优化非常具有挑战性。 特别地,由于昂贵的矩阵分解,收缩 - 地平线NMPC中所需的大预测视野增加了昂贵的矩阵因子的实时计算工作。

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