Fuzzy predictive controller design using Ant Colony Optimization algorithm
Published • Oct 1, 2014
NobleIDNI1P99W56R72S61
Authors:,,
Sofiane Bououden
Hamid Reza Karimi
Mohammed Chadli
Abstract
In this paper, an approach for designing an adaptive fuzzy model predictive control (AFMPC) based on the Ant Colony Optimization (ACO) is studied. On-line adaptive fuzzy identification is used to identify the system parameters. These parameters are used to calculate the objective function based on p...
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