University of Sussex
Browse
18958971.pdf (552.08 kB)

A brief review of neural networks based learning and control and their applications for robots

Download (552.08 kB)
journal contribution
posted on 2023-06-09, 09:22 authored by Yiming Jiang, Chenguang Yang, Jing Na, Guang Li, Yanan LiYanan Li, Junpei Zhong
As an imitation of the biological nervous systems, neural networks (NN), which are characterized with powerful learning ability, have been employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification and patterns recognition etc. This article aims to bring a brief review of the state-of-art NN for the complex nonlinear systems. Recent progresses of NNs in both theoretical developments and practical applications are investigated and surveyed. Specifically, NN based robot learning and control applications were further reviewed, including NN based robot manipulator control, NN based human robot interaction and NN based behavior recognition and generation.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Complexity

ISSN

1076-2787

Publisher

Hindawi Publishing Corporation

Issue

189589

Volume

2017

Page range

1-14

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2017-12-15

First Open Access (FOA) Date

2017-12-15

First Compliant Deposit (FCD) Date

2017-12-14

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC