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Problem of Optimal Management of Resources of Industrial Production with Given Statistical Data of Disturbance Parameters

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Proceedings of the Tenth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 502))

Abstract

A problem of optimum control with static quality function and with integral reachability criterion of a job for consuming control resources when perturbation distribution is known a priori has been formulated. It has been demonstrated that with the introduction of a certain structure providing feedback the problem can be reduced to a problem of stabilizing a relation of weight coefficients for optimality and reachability criteria during a process with a terminating time. Synthesis of stabilizing Lagrangian function in feedback network is made. Results of numerical analysis are given.

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Author information

Authors and Affiliations

  1. Sumgayit State University, Block 43, Sumgayit, Azerbaijan

    Ali Gasan Nagiev & Firuza Allahkuli Aliyeva

  2. Institute of Control Systems of ANAS The Institute of Mathematics and Mechanics of ANAS, 9 F.Agayev Str., 370141, Baku, Azerbaijan

    Hasan Ali Nagiyev

Authors
  1. Ali Gasan Nagiev
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  2. Firuza Allahkuli Aliyeva
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  3. Hasan Ali Nagiyev
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Corresponding author

Correspondence to Hasan Ali Nagiyev .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, Sichuan, China

    Jiuping Xu

  2. Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

  3. Karlsruhe Institute of Technology, Karlsruhe, Baden-Württemberg, Germany

    Stefan Nickel

  4. Tokyo University of Science, Fuzzy Logic Systems Institute, Tokyo, Japan

    Mitsuo Gen

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© 2017 Springer Science+Business Media Singapore

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Nagiev, A.G., Aliyeva, F.A., Nagiyev, H.A. (2017). Problem of Optimal Management of Resources of Industrial Production with Given Statistical Data of Disturbance Parameters. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_83

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  • DOI: https://doi.org/10.1007/978-981-10-1837-4_83

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1836-7

  • Online ISBN: 978-981-10-1837-4

  • eBook Packages: EngineeringEngineering (R0)

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