Keyword: neural predictive control, non-linear, optimization
|論文タイトル||Neural predictive control. Application to a highly non-linear system|
|出版情報||Engineering Applications of Artificial Intelligence, Volume 12, Issue 2, April 1999|
|著者||J.M. Zamarreño, P. Vega|
|概要（abstract）||"This paper proposes a new approach for constrained multivariable predictive control based on the use of a recurrent neural network as a non-linear prediction model of the plant under control. The model is derived in a natural way from its linear counterpart, and it is a representation of the system in the state-space form. The proposed predictive control scheme is able to deal with constraints in the system variables and highly non-linear dynamics. As an example model, a sulphitation tank taken from the sugar industry has been modelled and controlled with the proposed neuralpredictive controller. Comparisons with a PI and a generalized predictive controller are also given, showing the reliability of the proposed neural predictive control."|
|使用されているNAG製品||広域的な準ニュートンアルゴリズムを使用するため、NAG Library の最適化アルゴリズムが使用されている。|
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