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。 |