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SVM-Based Fault Type Classification Method for Navigation of Formation Control Systems

  • Sang-Hyeon Kim
  • Lebsework Negash
  • Han-Lim ChoiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 751)

Abstract

In this paper, we propose a fault type classification algorithm for a networked multi-robot formation control. Both actuator and sensor faults of a robot are considered as node fault on the networked system. The Support Vector Machine (SVM) based classification scheme is proposed in order to classify the fault type accurately. Basically, the graph-theoretic approach is used for modeling the multi-agent communication and to generate the formation control law. A numerical simulation is presented to confirm the performance of proposed fault type classification method.

Keywords

Fault type classification Networked multi-robot/agent Formation control Support vector machine (SVM) Graph Theory 

Notes

Acknowledgements

This work was supported by the ICT R&D program of MSIP/IITP. [R-20150223-000167, Development of High Reliable Communications and Security SW for Various Unmanned Vehicles].

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Sang-Hyeon Kim
    • 1
  • Lebsework Negash
    • 1
  • Han-Lim Choi
    • 1
    Email author
  1. 1.Department of Aerospace EngineeringKorean Advanced Institute of Science and TechnologyDaejeonKorea

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