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Abstract

In this chapter, two kinds of neural network approaches [i.e., gradient neural network (also termed gradient-based neural network), GNN, and Zhang neural network, ZNN] are used to analyze and prove the efficacy of the repetitive motion performance index.

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References

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Zhang, Z. (2013). Proofs of Repetitive Motion Performance Index. In: Repetitive Motion Planning and Control of Redundant Robot Manipulators. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37518-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-37518-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37517-0

  • Online ISBN: 978-3-642-37518-7

  • eBook Packages: EngineeringEngineering (R0)

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