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An Optimal Fuzzy Logic System for a Nonlinear Dynamic System Using a Fuzzy Basis Function

机译:基于模糊基函数的非线性动力系统最优模糊逻辑系统

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The impetus for this paper is the development of Fuzzy Basis Function “FBF” that assigns in an optimalfashion, a function approximation for a nonlinear dynamic system. A fuzzy basis function is applied tofind the best location of the characteristic points by specifying the set of fuzzy rules. The advantage of thistechnique is that, it may produce a simple and well-performing system because it selects the mostsignificant fuzzy basis functions to minimize an objective function in the output error for the fuzzy rules.The fuzzy basis function is a linguistic fuzzy IF_THEN rule. It provides a combination of the numericalinformation and the linguistic information in the form input-output pairs and in the form of fuzzy rules.The proposed control scheme is applied to a magnetic ball suspension system.
机译:本文的推动力是模糊基函数“ FBF”的发展,该函数以最优方式分配非线性动态系统的函数逼近。通过指定模糊规则集,应用模糊基函数来确定特征点的最佳位置。该技术的优点是,由于选择了最重要的模糊基函数以使模糊规则的输出误差中的目标函数最小化,因此可以生成一个简单且性能良好的系统。模糊基函数是语言模糊IF_THEN规则。它以输入输出对的形式和模糊规则的形式提供数值信息和语言信息的组合。将所提出的控制方案应用于磁悬浮系统。

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