The recent improvements related to the area of electric locomotive, power electronics, assembly processes and manufacturing machines have increased robustness reliability induction motors. Regardless availability, application motors in many fields alleges need for operating state supervision condition monitoring. In other words, fault identification at initial stage helps make appropriate contr...

In this paper, a neurofuzzy adaptive control framework for discrete-time systems based on kernel smoothing regression is developed. Kernel regression is a nonparametric statistics technique used to determine a regression model where no model assumption has been done. Due to similarity with fuzzy systems, kernel smoothing is used to obtain knowledge about the structure of the fuzzy system and th...