SIRMs Connected Fuzzy Inference Model Applied to Process Control -- Automatic Tuning Using a Genetic Algorithm Carla Cavalcante
Koike, Departamento de Engenharia Mecanica e Engenharia, Universidadl de Brasilia, Kaoru Hirota · Journal of Advanced Computational Intelligence and Intelligent Informatics · 1999
A tuning process proposed for the single input rule modules (SIRMs) connected inference model is applied to process control. Using a genetic algorithm (GA), the importance degree is adjusted to improve process response. Simulation using first-order processes with dead time verified the validity of this approach.