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Adaptive Neuro Integral Sliding Mode Control on Synchronization of Two Robot Manipulators

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

Designing a new adaptive synchronization controller for multiple robot manipulators is main purpose of this study. But, this synchronization between robots are considered without having direct communication between robots. The adaptive synchronization method is consisted of the integral sliding mode controller improved with adaptive neural network controller. In order to analyze the performance of the proposed method, four different situations are considered. Also, the result are compared with the ANFIS method. The proposed method is guaranteed by Lyapunov stability method.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering, Girne American University, Kyrenia, Cyprus

    Parvaneh Esmaili

  2. Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia

    Habibollah Haron

Authors
  1. Parvaneh Esmaili
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  2. Habibollah Haron
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Corresponding author

Correspondence to Parvaneh Esmaili .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Esmaili, P., Haron, H. (2017). Adaptive Neuro Integral Sliding Mode Control on Synchronization of Two Robot Manipulators. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_48

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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