Optimization of fuzzy model using genetic algorithm for process control application
A technique for the modeling of nonlinear controlprocesses using fuzzy modeling approach based on the Takagi–Sugeno fuzzymodel with a combination of geneticalgorithm and recursive least square is proposed. This paper discusses the identification of the parameters at the antecedent and consequent par...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier B.V.
2011
|
| Subjects: |