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4 Learning-based Control

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Control of Single Wheel Robots

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 20))

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Abstract

Due to the complexity of the system, it is difficult for us to work out a “complete” analytical model of it. Therefore, in this chapter, we propose using a machine learning algorithm, Cascade Neural Network (CNN) with nodedecoupled extended Kalman Filtering (NDEKF), to model the robot’s behaviors from human control strategy (HAS).

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Xu, Y., Ou, Y. 4 Learning-based Control. In: Control of Single Wheel Robots. Springer Tracts in Advanced Robotics, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11430001_4

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  • DOI: https://doi.org/10.1007/11430001_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28184-9

  • Online ISBN: 978-3-540-31501-8

  • eBook Packages: EngineeringEngineering (R0)

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