IMPLEMENTATION OF A GENETICALLY OPTIMIZED INTERPOLATIVE FUZZY INFERENCE ENGINE IN CONTROLLING A BALL-PLATE LABORATORY SETUP
作者： Caro Lucas , Alireza Fatehi , Danial Shahmirzadi , Mohsen M. Takami
DOI: 10.1115/DETC2003/VIB-48515
关键词:
摘要: This paper goes through giving the results of implementing a genetically optimized interpolative fuzzy engine in controlling ball-plate laboratory setup. For demonstrating advantages our proposed controller over classical controllers, we gave some comparison between one with common CRI inference mechanism and mechanism. As expected, is more efficient than CRI-based controller, respect to computational space, as well it robust goal achievement.Copyright © 2003 by ASME
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