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Fuzzy control research at Siemens Corporate R&D

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Symbolic and Quantitative Approaches to Uncertainty (ECSQARU 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 548))

Abstract

Siemens Corporate R&D has decided to undertake a significant research effort in the field of fuzzy control. Both theoretical and practical aspects of fuzzy control and related areas in fuzzy set theory will be extensively researched in close connection with several universities, research institutes and industrial companies.

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References

  1. Driankov, D. & Hellendoorn, H., “Towards a Logic for a Fuzzy Logic Controller,” Proceedinqs of the ESCQAU-Conference Marseille, Berlin, Springer Verlag, 1991.

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  2. Palm, R., “Fuzzy Controller for a Sensor Guided Robot Manipulator,” Fuzzy Sets and Systems, 31(1989)133–149.

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  3. Hecht, A., Hellendoorn, H. & Leufke, A., Machine Learning for Fuzzy Control, forthcoming technical report of the “Siemens Intelligent Control Systems Laboratory,” Munich, Germany, 1991.

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Rudolf Kruse Pierre Siegel

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© 1991 Springer-Verlag Berlin Heidelberg

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Hellendoorn, H., Reinfrank, M. (1991). Fuzzy control research at Siemens Corporate R&D. In: Kruse, R., Siegel, P. (eds) Symbolic and Quantitative Approaches to Uncertainty. ECSQARU 1991. Lecture Notes in Computer Science, vol 548. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54659-6_90

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  • DOI: https://doi.org/10.1007/3-540-54659-6_90

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54659-7

  • Online ISBN: 978-3-540-46426-6

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