Versatility of fuzzy logic

D. Matko, I. Škrjanc, G. Klančar, M. Lepetic
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Abstract

This paper illustrates versatility of fuzzy control by two applications of fuzzy logic: model based control of nonlinear systems and decision making respectively. In the first application Takagi-Sugeno fuzzy model is used to model a nonlinear plant: the laboratory scale heat exchanger. The model is then used in generalized predictive control. In the second application the fuzzy logic is applied for several tasks in the robot soccer game analysis, such as data filtering and analysis of strategy.
模糊逻辑的通用性
本文通过模糊逻辑在非线性系统的基于模型控制和决策两方面的应用来说明模糊控制的通用性。在第一个应用中,将Takagi-Sugeno模糊模型用于模拟一个非线性装置:实验室规模的热交换器。然后将该模型应用于广义预测控制。将模糊逻辑应用于机器人足球比赛分析中的数据过滤和策略分析等任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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