Abstract
The fuzzy controllers could be broadly used in control processes thanks to their good performance, one disadvantage is the problem of fuzzy controllers tuning, this implies the handling of a great quantity of variables like: the ranges of the membership functions, the shape of this functions, the percentage of overlap among the functions, the number of these and the design of the rule base, mainly, and more even when they are multivariable systems due that the number of parameters grows exponentially with the number of variables. The importance of the tuning problem implies to obtain fuzzy system that decrease the settling time of the processes in which it is applied. In this work a very simple algorithm is presented for the tuning of fuzzy controllers using only one variable to adjust the performance of the system. The results will be obtained considering the relationship that exists between the membership functions and the settling time.
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© 2004 Springer-Verlag Berlin Heidelberg
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Gómez-Ramírez, E., Chávez-Plascencia, A. (2004). Tuning of Fuzzy Controllers. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_81
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DOI: https://doi.org/10.1007/978-3-540-24694-7_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21459-5
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