Publicación: Fuzzy logic vs analytic controllers on a non-linear system
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2014
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info:eu-repo/semantics/openAccess
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World Scientific
Resumen
In 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.
Descripción
The 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_0075
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E. 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_0075
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Facultades y escuelas
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Ingeniería de Software y Sistemas Informáticos