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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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