research-article

Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications

Authors:

Long JinAuthors Info & Claims

ICACS '17: Proceedings of the 1st International Conference on Algorithms, Computing and Systems

Pages 107 - 112

https://doi.org/10.1145/3127942.3127956

Published: 10 August 2017 Publication History

Abstract

Recently, a modified zeroing neural network (MZNN) model has been presented for solving quadratic programming problems, which is of noise-tolerant ability. In this paper, we conduct further investigations on such a model and then present a nonlinear function activated model. Finally, the presented nonlinear function activated model is applied to the motion control of robots.

References

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Digital Library

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Cited By

Xiao LCao PWang ZLiu S(2024)A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equationsNeural Networks10.1016/j.neunet.2023.11.058170(494-505)Online publication date: Feb-2024
https://doi.org/10.1016/j.neunet.2023.11.058
Yagi PQuiroz ELengua M(2022)A Systematic Literature Review on Quadratic ProgrammingProceedings of Seventh International Congress on Information and Communication Technology10.1007/978-981-19-2397-5_66(739-747)Online publication date: 17-Aug-2022
https://doi.org/10.1007/978-981-19-2397-5_66

Index Terms

Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications
1. Computing methodologies
  1. Symbolic and algebraic manipulation
    1. Symbolic and algebraic algorithms
      1. Optimization algorithms

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ICACS '17: Proceedings of the 1st International Conference on Algorithms, Computing and Systems

August 2017

117 pages

ISBN:9781450352840

DOI:10.1145/3127942

Copyright © 2017 ACM.

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Publication History

Published: 10 August 2017

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ICACS '17

ICACS '17: 2017 International Conference on Algorithms, Computing and Systems

August 10 - 13, 2017

Jeju Island, Republic of Korea

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Cited By

Xiao LCao PWang ZLiu S(2024)A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equationsNeural Networks10.1016/j.neunet.2023.11.058170(494-505)Online publication date: Feb-2024
https://doi.org/10.1016/j.neunet.2023.11.058
Yagi PQuiroz ELengua M(2022)A Systematic Literature Review on Quadratic ProgrammingProceedings of Seventh International Congress on Information and Communication Technology10.1007/978-981-19-2397-5_66(739-747)Online publication date: 17-Aug-2022
https://doi.org/10.1007/978-981-19-2397-5_66

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