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Combined Maximum Principle as the Basis of Intellectualization of Control Systems for a Suspension of Vehicles

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Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) (IITI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 679))

Abstract

The problem of synthesizing the control of the intellectual suspension of a vehicle is regarded as a problem of synthesizing optimal law of the Lagrangian system parametric control. There has been developed a method for synthesizing optimal law parametric control in conditions of uncontrollable external exposures, what allows to speak of the possibility to build a “smart” damping system. The obtained laws of control are technically feasible being characterized by low amount of computational effort.

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References

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Acknowledgements

The paper has been accomplished with the support of Russian Federal Property Fund grants No. 15-08-03798, 15-38-20835, 16-37-60034, 16-38-00665.

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Authors and Affiliations

  1. Rostov State Transport University, Rostov-on-Don, Russian Federation

    Andrey Kostoglotov, Sergey Lazarenko, Igor Derabkin & Alexey Yachmenov

  2. Air Force Military Training and Research Center “Air Force Academy named after Professor N.E. Zhukovsky and Yu. A. Gagarin”, Voronezh, Russia

    Oksana Kuznetcova

Authors
  1. Andrey Kostoglotov
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  2. Sergey Lazarenko
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  3. Igor Derabkin
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  4. Oksana Kuznetcova
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  5. Alexey Yachmenov
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Corresponding authors

Correspondence to Andrey Kostoglotov , Sergey Lazarenko , Igor Derabkin , Oksana Kuznetcova or Alexey Yachmenov .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR labs), Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University , Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University , Moscow, Russia

    Valery Tarassov

  4. VSB-Technical University of Ostrava , Ostrava, Czech Republic

    Vaclav Snasel

  5. Department Electrical Power Engineering, Technical University of Varna, Varna, Bulgaria

    Margreta Vasileva

  6. Rostov State Transport University , Rostov-on-Don, Russia

    Andrey Sukhanov

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Kostoglotov, A., Lazarenko, S., Derabkin, I., Kuznetcova, O., Yachmenov, A. (2018). Combined Maximum Principle as the Basis of Intellectualization of Control Systems for a Suspension of Vehicles. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 679. Springer, Cham. https://doi.org/10.1007/978-3-319-68321-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-68321-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68320-1

  • Online ISBN: 978-3-319-68321-8

  • eBook Packages: EngineeringEngineering (R0)

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