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• W2090945090 abstract "In this paper, we propose an effective method to select the parameters of the switching-type fuzzy controller by using the genetic algorithm so that a high performance of the overall system's response can be achieved. The proposed fitness function contains three performance measures (the rise time, overshoot, and steady-state error) so that the selected parameters by the proposed method can simultaneously improve the transient response and the steady-state response based on the direction of the fitness function. An inverted pendulum control design problem is given to illustrate the validity of the proposed method." @default.
• W2090945090 created "2016-06-24" @default.
• W2090945090 creator A5037232729 @default.
• W2090945090 creator A5054525046 @default.
• W2090945090 date "1995-09-01" @default.
• W2090945090 modified "2023-09-27" @default.
• W2090945090 title "Switching-type fuzzy controller design by genetic algorithms" @default.
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• W2090945090 doi "https://doi.org/10.1016/0165-0114(94)00359-f" @default.
• W2090945090 hasPublicationYear "1995" @default.
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