Abstract
An advanced prediction method utilizing fuzzy Hammerstein models is proposed in the paper. The prediction has such a form that the Model Predictive Control (MPC) algorithm using it is formulated as a numerically efficient quadratic optimization problem. The prediction is described by relatively simple analytical formulas. The key feature of the proposed prediction method is the usage of values of the future control changes which were derived by the MPC algorithm in the last iteration. Thanks to such an approach the MPC algorithm using the proposed method of prediction offers very good control performance. It is demonstrated in the example control system of a nonlinear control plant with significant time delay that the obtained responses are much better than those obtained in the standard MPC algorithm based on a linear process model.
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Marusak, P.M. (2011). Advanced Prediction Method in Efficient MPC Algorithm Based on Fuzzy Hammerstein Models. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_19
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DOI: https://doi.org/10.1007/978-3-642-23935-9_19
Publisher Name: Springer, Berlin, Heidelberg
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