IMPLEMENTATION OF A GENETICALLY OPTIMIZED INTERPOLATIVE FUZZY INFERENCE ENGINE IN CONTROLLING A BALL-PLATE LABORATORY SETUP

机译：遗传优化插值模糊推理机在控制球板实验室设置中的实现

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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.

机译：本文通过给出在控制球板实验室设置中实施遗传优化插值模糊引擎的结果。为了证明我们提出的插值模糊控制器相对于经典模糊控制器的优势，我们对模糊控制器进行了比较，一种具有通用的CRI推理机制，另一种具有我们的插值推理机制。不出所料，就计算空间而言，我们的模糊插值控制器比基于CRI的控制器更有效，并且对实现目标更鲁棒。

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来源
《19th Biennial Conference on Mechanical Vibration and Noise》|2003年|p.1749-1758|共10页
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Caro Lucas; Danial Shahmirzadi; Alireza Fatehi; Mohsen M. Takami;
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中图分类一般工业技术;
关键词
fuzzy inference; interpolation; interpolative reasoning; ball-plate system; robustness;

机译：模糊推理;插值;插值推理;球板系统;鲁棒性;

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4. IMPLEMENTATION OF A GENETICALLY OPTIMIZED INTERPOLATIVE FUZZY INFERENCE ENGINE IN CONTROLLING A BALL-PLATE LABORATORY SETUP [C] . Caro Lucas, Danial Shahmirzadi, Alireza Fatehi, Biennial Conference on Mechanical Vibration and Noise . 2003

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IMPLEMENTATION OF A GENETICALLY OPTIMIZED INTERPOLATIVE FUZZY INFERENCE ENGINE IN CONTROLLING A BALL-PLATE LABORATORY SETUP

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