A novel identification method for generalized T-S fuzzy systems (Q1955325)
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scientific article; zbMATH DE number 6173672
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A novel identification method for generalized T-S fuzzy systems |
scientific article; zbMATH DE number 6173672 |
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A novel identification method for generalized T-S fuzzy systems (English)
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11 June 2013
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Summary: In order to approximate any nonlinear system, not just affine nonlinear systems, generalized T-S fuzzy systems, where the control variables and the state variables, are all premise variables are introduced in the paper. Firstly, fuzzy spaces and rules were determined by using ant colony algorithm. Secondly, the state-space model parameters are identified by using genetic algorithm. The simulation results show the effectiveness of the proposed algorithm.
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