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A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots

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Listed:
  • Yiming Jiang
  • Chenguang Yang
  • Jing Na
  • Guang Li
  • Yanan Li
  • Junpei Zhong

Abstract

As an imitation of the biological nervous systems, neural networks (NNs), which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification, and patterns recognition. This article aims to bring a brief review of the state-of-the-art NNs for the complex nonlinear systems by summarizing recent progress of NNs in both theory and practical applications. Specifically, this survey also reviews a number of NN based robot control algorithms, including NN based manipulator control, NN based human-robot interaction, and NN based cognitive control.

Suggested Citation

  • Yiming Jiang & Chenguang Yang & Jing Na & Guang Li & Yanan Li & Junpei Zhong, 2017. "A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots," Complexity, Hindawi, vol. 2017, pages 1-14, October.
    • Handle: RePEc:hin:complx:1895897
    DOI: 10.1155/2017/1895897
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    References listed on IDEAS

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    1. Chunni Wang & Shengli Guo & Ying Xu & Jun Ma & Jun Tang & Faris Alzahrani & Aatef Hobiny, 2017. "Formation of Autapse Connected to Neuron and Its Biological Function," Complexity, Hindawi, vol. 2017, pages 1-9, February.
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    Cited by:

    1. Yunjian Peng & Birong Zhao & Weijie Sun & Feiqi Deng, 2018. "Exponential Stabilization of Coupled Hybrid Stochastic Delayed BAM Neural Networks: A Periodically Intermittent Control Method," Complexity, Hindawi, vol. 2018, pages 1-14, December.
    2. Saiteja, Pemmareddy & Ashok, B., 2022. "Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    3. Li Wang & Lijun Zhao & Guanglei Huo & Ruifeng Li & Zhenghua Hou & Pan Luo & Zhenye Sun & Ke Wang & Chenguang Yang, 2018. "Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots," Complexity, Hindawi, vol. 2018, pages 1-12, April.
    4. Anh Tuan Vo & Thanh Nguyen Truong & Hee-Jun Kang, 2023. "Fixed-Time RBFNN-Based Prescribed Performance Control for Robot Manipulators: Achieving Global Convergence and Control Performance Improvement," Mathematics, MDPI, vol. 11(10), pages 1-25, May.

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