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http://dx.doi.org/10.5391/JKIIS.2017.27.1.050

Fuzzy Modelling and Fuzzy Controller Design with Step Input Responses and GA for Nonlinear Systems  

Lee, Wonchang (Department of Electronics Engineering, Pukyon National University)
Kang, Geuntaek (Department of Electronics Engineering, Pukyon National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.27, no.1, 2017 , pp. 50-58 More about this Journal
Abstract
For nonlinear control system design, there are many studies based on TSK fuzzy model. However, TSK fuzzy modelling needs nonlinear dynamic equations of the object system or a data set fully distributed in input-output space. This paper proposes an modelling technique using only step input response data. The technique uses also the genetic algorithm. The object systems in this paper are nonlinear to control input variable or output variable. In the case of nonlinear to control input, response data obtained with several step input values are used. In the case of nonlinear to output, step input response data and zero input response data are used. This paper also presents a fuzzy controller design technique from TSK fuzzy model. The effectiveness of the proposed techniques is verified with numerical examples.
Keywords
Fuzzy Control; TSK Fuzzy Model; Step Input Response; Genetic Algorithm;
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Times Cited By KSCI : 2  (Citation Analysis)
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