Self-tuning of controller using neural network and genetic algorithm
This paper presents a scheme of self-tuning of controllers. The proposed scheme employs neural networks to map the nonlinear relationships between parameters of controller and performance specifications of step response. Genetic algorithm is used to optimize these parameters. Self-tuning of fuzzy logic controller shows the effectiveness of the proposed scheme.