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• W2956136416 endingPage "1298" @default.
• W2956136416 startingPage "1287" @default.
• W2956136416 abstract "In this work, a novel methodology is presented to reduce the computational complexity of applying explicit solution of Model Predictive Control (MPC). The methodology is based on applying the functional principal component analysis, providing a mathematically elegant approach to reduce the complexi ty of rule-based systems, like piecewise affine systems, allowing the reduction of the number of consequents and combining and merging the antecedents. Thus, the application of MPC is allowed in systems with low computational requirements, such as programmable logic controllers, embedded systems, etc. The proposed design has been validated using an industrial distiller model." @default.
• W2956136416 created "2019-07-12" @default.
• W2956136416 creator A5035860204 @default.
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• W2956136416 date "2019-07-09" @default.
• W2956136416 modified "2023-10-16" @default.
• W2956136416 title "Explicit simplified MPC with an adjustment parameter adapted by a fuzzy system" @default.
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• W2956136416 doi "https://doi.org/10.3233/jifs-182743" @default.
• W2956136416 hasPublicationYear "2019" @default.
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