An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications

作者: Roberto Sepulveda-Cruz , Oscar Castillo , Patricia Melin , Oscar Humberto Montiel-Ross , None

DOI: 10.1007/978-3-540-72432-2_6

关键词:

摘要: A novel structure of type 2 fuzzy logic controller is presented. The method highly efficient regarding computational time and implementation effort. Type-2 input membership functions were optimized using the Human Evolutionary Model (HEM) considering as objective function Integral Squared Error at controllers output. Statistical tests achieved how error controller’s output diminished in presence uncertainty, demonstrating that proposed outperforms an traditional type-2 for same test conditions.

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