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Ensuring the Robustness of Modern Mechatronic Systems Using Artificial Intelligence Methods

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Artificial Intelligence in Models, Methods and Applications (AIES 2022)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 457))

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Abstract

In this paper we propose design principles that make use of neural network algorithms, artificial intelligence methods, and methods of terminal control for the synthesis of controllers for the sensing elements and the stabilization loop in a test bench, which is considered a modern mechatronic system that ensures the best robustness of the automatic control system. We show that the use of the artificial neuron network allows one to achieve some advantages to be compared with the conventional analog mechatronic system, which discussed in the paper.

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Author information

Authors and Affiliations

  1. Yuri Gagarin State Technical University of Saratov, Saratov, Russian Federation

    Dmitriy Kalikhman, Ekaterina Deputatova, Alexey Lvov, Svetlana Pchelintseva & Valeriy Gorbachev

  2. AcademicianPilyugin Center, Moscow, Russian Federation

    Vitaliy Nikiforov & Vitaliy Turkin

Authors
  1. Dmitriy Kalikhman
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  2. Ekaterina Deputatova
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  3. Alexey Lvov
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  4. Svetlana Pchelintseva
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  5. Valeriy Gorbachev
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  6. Vitaliy Nikiforov
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  7. Vitaliy Turkin
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Corresponding author

Correspondence to Alexey Lvov .

Editor information

Editors and Affiliations

  1. Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Saint Petersburg, Russia

    Igor Bessmertny

  3. Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

  5. Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  6. Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  7. Technical Science, Novosibirsk Institute of the Software Systems, Novosibirsk Oblast, Russia

    Vadim Zhmud

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Kalikhman, D. et al. (2023). Ensuring the Robustness of Modern Mechatronic Systems Using Artificial Intelligence Methods. In: Dolinina, O., et al. Artificial Intelligence in Models, Methods and Applications. AIES 2022. Studies in Systems, Decision and Control, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-22938-1_32

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