隐式建模对预测控制的好处

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) Pub Date : 2000-12-12 DOI:10.1109/CDC.2000.912755

J. Rossiter, B. Kouvaritakis, L. H. Huatuco

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引用次数: 4

摘要

传统上，预测控制被理解为依赖于准确的预测，以提供良好的控制。这里表明，实际上可以完全绕过预测模型，直接进入一个隐式模型，该模型表示要最小化的目标函数的参数。这被证明具有显著的优势。

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The benefits of implicit modelling for predictive control

Traditionally, predictive control is understood to rely on accurate predictions in order to give good control. Here it is shown that in fact one can bypass the prediction model altogether and go straight to an implicit model which represents the parameters of the objective function to be minimised. This is demonstrated to have significant advantages.

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Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)

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