A novel neuro-fuzzy controller genetically enhanced using LabVIEW

This paper describes intelligent control applications, using different types of intelligent control methods based on fuzzy logic, artificial neural networks, genetic algorithms and neuro-fuzzy techniques. The main goal of this paper is to design an intelligent controller for LabVIEW. The designed controllers were based on LabVIEW, one of the most important industrial platforms in our days, which allows us to move from design to implementation in only few steps. The proposed controller could be used as an educational tool in a classroom for the study of different intelligent control methods which could be understood and analyzed step by step in LabVIEW. The controller performance was validated using a quadruped robot for the navigation problem and the results show high-quality performance.