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Fuzzy identification of energy-exchange models from technological processes

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Abstract

An identification method is proposed that enables one to estimate the parameters and also to evaluate the model performance. The method is based on fuzzy-set theory.

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Abbreviations

T1, T2 :

inlet and outlet cage temperatures

P:

roll force

Ho, H1 :

strip thickness at the inlet and outlet

v:

rolling speed

LD :

grip arc length

B:

strip width

Hav :

mean thickness of the deformation site

R:

roll radius

Pe, Te :

measured roll force and temperature behind the cage

Pc, Tc :

calculated roll force and temperature

Literature cited

  1. S. A. Orlovskii, Decision Problems with Fuzzy Initial Information [in Russian], Nauka, Moscow (1981).

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  2. N. V. Diligenskii, P. V. Sevast'yanov, and N. V. Tumanov, “Mathematical model for energy transfer in hot rolling of aluminum alloys,” in: Designing Automated Simulation and Control Systems [in Russian], Issue 1, KPtI, Kuibyshev (1978), pp. 40–45.

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  3. R. R. Yager, “Multiple objective decision-making using fuzzy sets,” Int. J. Man-Machine Stud.,9, No. 4, 375–382 (1977).

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  4. R. R. Yager, “Fuzzy subsets of type II in decisions,” J. Cybernetics,10, No. 1–3, 137–159 (1980).

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Author information

Authors and Affiliations

  1. Kuibyshev Polytechnical Institute, USSR

    N. V. Diligenskii, P. V. Sevast'yanov & N. V. Tumanov

Authors
  1. N. V. Diligenskii
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  2. P. V. Sevast'yanov
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  3. N. V. Tumanov
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Additional information

Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 45, No. 5, pp. 814–818, November, 1983.

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Diligenskii, N.V., Sevast'yanov, P.V. & Tumanov, N.V. Fuzzy identification of energy-exchange models from technological processes. Journal of Engineering Physics 45, 1305–1308 (1983). https://doi.org/10.1007/BF01254740

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  • DOI: https://doi.org/10.1007/BF01254740

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