Aranda Escolástico, ErnestoGuinaldo Losada, MaríaDormido Canto, SebastiánSantos, M.2024-10-072024-10-072014E. Aranda, M. Guinaldo, M. Santos, S. Dormido. “Fuzzy logic VS analytic controllers on a non-linear system”, The 11th International FLINS Conference on Decision Making and Soft Computing, João Pessoa (Brazil), Proceedings series on computer engineering and information science: Decision making and soft computing, 9, 448-453, August, 2014. DOI: 10.1142/9789814619998_00759789814623001https://doi.org/10.1142/9789814619998_0075https://hdl.handle.net/20.500.14468/23932The registered version of this article, first published in “Decision Making and Soft Computing, pp. 448-453 (2014)", is available online at the publisher's website: World Scientific, https://doi.org/10.1142/9789814619998_0075 La versión registrada de este artículo, publicado por primera vez en “Decision Making and Soft Computing, pp. 448-453 (2014)", está disponible en línea en el sitio web del editor: World Scientific, https://doi.org/10.1142/9789814619998_0075In this paper, an intelligent control of the rotary inverted pendulum by fuzzy logic is presented. Specifically, the design consists of a Takagi-Sugeno fuzzy model to approximate the non-linear system to a succession of points where a linear system is described. A feedback gain is obtained that allows the stabilization of the inverted pendulum in a higher attractor than in the case of analytic Full State Feedback controller or Linear Quadratic Regulator.eninfo:eu-repo/semantics/openAccess33 Ciencias Tecnológicasactas de congreso