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Reconfigurable Networked Fuzzy Takagi Sugeno Control for Magnetic Levitation Case Study

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MICAI 2006: Advances in Artificial Intelligence (MICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4293))

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Abstract

Nowadays the dynamic behavior of a computer network system can be modeled from the perspective of a control system. One strategy to be follow is the real-time modeling of magnetic levitation system. After this representation, next stage is how a control approach can be affected and modified. In that respect, this paper proposes a control reconfiguration strategy from the definition of an Intelligent Fuzzy System computer network reconfiguration. Several stages are including, how computer network takes place, as well as how control techniques are modified using Takagi-Sugeno Fuzzy Control.

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© 2006 Springer-Verlag Berlin Heidelberg

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Quiñones-Reyes, P., Benítez-Pérez, H., Cárdenas-Flores, F., García-Nocetti, F. (2006). Reconfigurable Networked Fuzzy Takagi Sugeno Control for Magnetic Levitation Case Study. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_13

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  • DOI: https://doi.org/10.1007/11925231_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49026-5

  • Online ISBN: 978-3-540-49058-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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