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| Paper IPM / Cognitive / 7525 |
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This paper goes through giving the results of implementing a genetically optimized interpolative fuzzy engine in controlling a ball-plate laboratory setup. For demonstrating the advantages of our proposed interpolative fuzzy controller over classical fuzzy controllers, we gave some comparison between the fuzzy controllers, one with common CRI inference mechanism and one with our interpolative inference mechanism. As expected, our fuzzy interpolative controller is more efficient than CRI-based controller, with respect to computational space, as well as it is more robust to goal achievement.
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