In this paper we aim to survey the performance of a non-linear H∞ method and a new proposed controller on a magnetic levitation model (maglev). The proposed controller is a new model-free adaptive design approach using an adaptive-fuzzy procedure based on feedback linearization. The main idea of the new controller comprises two steps: first, by means of the feedback linearization method, a measured signal is taken to a specific level with an error less than a defined value and second, proposed rules are applied to the system to keep the error near zero. The major advantage of new controller is that there is no need for identification of the system dynamics and only the output error is required.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.