认知映射-模糊控制器模型:控制目标敏感性实验

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2008-05-19 DOI:10.1109/NAFIPS.2008.4531340

J. L. Gonzalez, L. Aguilar, O. Castillo

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引用次数: 0

摘要

提出了一种认知地图与Mamdani型模糊逻辑控制器(CM-FLC)的混合模型;系统的认知地图部分使用经验来源的数据在线生成FLC设计，它还使用测量的变量数据来表征控制器性能，以便生成FLC微调，产生自适应控制行为。研究了模型对设计者指定控制目标的敏感性;仿真结果表明，在不同的控制水平下，模型对这些经验参数具有鲁棒性。

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A Cognitive Map-Fuzzy Logic Controller model: Experiments on control objectives sensibility

A hybrid model of cognitive map and Mamdani type fuzzy logic controller (CM-FLC) is presented; cognitive map portion of the system generates FLC design online using data from empirical sources, it also uses measured variable data to characterized controller performance in order to generate FLC fine-tuning, producing adaptive control behavior. Model sensitivity to designer specified control objectives is studied; simulations are presented to show model robustness to these empirically specified parameters under different levels of control.

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NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society

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