The performance of model based fault detection and isolation systems can be improved by designing more accurate estimation methods. This work presents a novel implementation of a nonlinear Kalman filter based on the Takagi-Sugeno (TS) fuzzy …
In order to reduce the false alarms in fault detection systems for mobile robots, accurate state estimation is needed. Through this work, a new method for localization of a mobile robot is presented. First, a Takagi-Sugeno fuzzy model of a mobile …