Advanced Construction of the Dynamic Matrix in Numerically Efficient Fuzzy MPC Algorithms
نویسندگان
چکیده
A method for the advanced construction of dynamic matrix Model Predictive Control (MPC) algorithms with linearization is proposed in paper. It extends numerically efficient fuzzy utilizing skillful linearization. The combine control performance offered by MPC nonlinear optimization (NMPC algorithms) numerical efficiency based on linear models which problem a standard, easy-to-solve, quadratic programming constraints. In researched algorithms, free response obtained using process model and future trajectory signals used to construct an easy-to-obtain model. This leads obtaining very good prediction quality close those NMPC algorithms. approach tested system chemical plant—a CSTR reactor van de Vusse reaction.
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ژورنال
عنوان ژورنال: Algorithms
سال: 2021
ISSN: ['1999-4893']
DOI: https://doi.org/10.3390/a14010025