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Optimization of a reactive fuzzy logic controller for a mobile robot using evolutionary algorithms

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This paper describes an evolutionary algorithm application for the optimization of a reactive fuzzy controller applied to mobile robot navigation. The evolutionary algorithm optimizes the fuzzy inference system and the position and number of the sensors on the robot, while trying to use the less power possible.
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Bibliografia
  • [1] Aceves A., Aguilar J., “A Simplified Version of Mamdani's Fuzzy Controller The Natural Logic Controller”, IEEE Transactions on Fuzzy Systems, vol. 14, no. 1, 2006, p. 1630.
  • [2] Astudillo L., Castillo O., Aguilar L.T. “Intelligent Control of an Autonomous Mobile Robot Using Type-2 Fuzzy Logic”, Journal of Nonlinear Studies, vol. 14, no. 1, pp. 37-48.
  • [3] Astudillo L., Castillo O., Aguilar L., “Control Difuso de Robots Autónomos Móviles en Ambientes Inciertos usando Lógica Difusa”, Tesis, División de Estudios y Posgrados e Investigación, ITT, México, October 2006.
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  • [5] Cardenas S., Castillo O., Aguilar L. ,”Controlador de Seguimiento para un Robot Móvil empleando Lógica Difusa”, Tesis, División de Estudios y Posgrados e Investigación, ITT, México, October of 2005. (in Spanish)
  • [6] Conde Bento L., Nunes U., Mendes A., Parent M. “Path-Tracking Controller of a bi-steerable Cybernetic Car using Fuzzy Logic”. Proceedings of ICAR 2003. The 11 International Conference on Advanced Robotics, pp. 1556-1561.
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  • [10] Ishikawa S., “A Method of Indoor Mobile Robot Navigation by Fuzzy Control”, Proc. Int. Conf. Intell Robot. Syst., Osaka, Japan, 1991 pp. 1013-1018.
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  • [12] Jang J.-S.R., Sun C.-T., Mizutani E., „Neuro-Fuzzy and Soft Computing a computacional approch to learning and machine intelligence”, Prentice Hall, 1997.
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  • [14] Leyden M., Toal D., Flanagan C., “A Fuzzy Logic Based Navigation System for a Mobile Robot”, Proceedings of Automatisierungs Symposium, Wismar, Germany, 1999.
  • [15] Macek K., Petrovic I., Siegwart R., ”A control method for stable and smooth path following of mobile robots”, Proceedings of the 2nd European Conference on Mobile Robots - ECMR 2005, Ancona, Italy, September 7-10, 2005, pp. 128-133.
  • [16] Man K.F., “Genetic Algorithms: Concepts and Designs (Advanced Textbooks in Control and Signal Processing)”, Springer, Corrected edition (March 30, 1999).
  • [17] Martínez R., Castillo O., Aguilar L., ”Control Inteligente de Robots Autónomos Móviles Bajo Pares Perturbados Usando Lógica Difusa Tipo-2” Thesis, División de Estudios y Posgrados e Investigación, ITT, México, Febrero del 2008.
  • [18] Meléndez A., Castillo O., Soria J., “Reactive Control of a Mobile Robot in a Distributed Environment Using Fuzzy Logic”, Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American Volume, Issue, 19-22 May 2008, pp. 1-5.
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  • [21] Pishkenari H.N., Mahboobi S.H., Meghdari A., ”On the Optimum Design of Fuzzy Logic Controller for Trajectory Tracking Using Evolutionary Algorithms” Cybernetics and Intelligent Systems, 2004 IEEE Conference on Publication Date: 1-3 Dec. 2004, vol.1, pp. 660-665.
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bwmeta1.element.baztech-article-BUJ5-0027-0055
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