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Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise

Dongsheng Guo, Shuai Li Orcid Logo, Predrag S. Stanimirovic

IEEE Transactions on Industrial Informatics, Volume: 16, Issue: 7, Pages: 4627 - 4638

Swansea University Author: Shuai Li Orcid Logo

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DOI (Published version): 10.1109/tii.2019.2944517

Abstract

The Zhang neural network (ZNN) has recently realized remarkable success in solving time-varying problems. Harmonic noise widely exists in industrial applications and can severely affect the solution computed by ZNN models. This work attempts to solve the aforementioned limitations by providing the f...

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Published in: IEEE Transactions on Industrial Informatics
ISSN: 1551-3203 1941-0050
Published: Institute of Electrical and Electronics Engineers (IEEE) 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa52457
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first_indexed 2019-10-15T20:24:09Z
last_indexed 2020-11-21T04:06:45Z
id cronfa52457
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spelling 2020-11-20T08:47:44.0186976 v2 52457 2019-10-15 Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise 42ff9eed09bcd109fbbe484a0f99a8a8 0000-0001-8316-5289 Shuai Li Shuai Li true false 2019-10-15 MECH The Zhang neural network (ZNN) has recently realized remarkable success in solving time-varying problems. Harmonic noise widely exists in industrial applications and can severely affect the solution computed by ZNN models. This work attempts to solve the aforementioned limitations by providing the first ZNN design with an inherent capability to prohibit harmonic noise. Moreover, it opens new opportunities to shift the research on ZNNs in ideal situations to that with theoretical consideration on non-ideal working environments. We establish a modified ZNN design formula in a noisy environment by incorporating the dynamics of harmonic signals. Theoretical analysis shows the convergence of the proposed ZNN design. An application case study for the new ZNN model verifies its effectiveness for time-varying matrix inversion in the presence of harmonic noise. The simulation further substantiates the effectiveness, superiority, and application prospects of the proposed ZNN design. Journal Article IEEE Transactions on Industrial Informatics 16 7 4627 4638 Institute of Electrical and Electronics Engineers (IEEE) 1551-3203 1941-0050 1 7 2020 2020-07-01 10.1109/tii.2019.2944517 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2020-11-20T08:47:44.0186976 2019-10-15T17:25:22.4605850 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Dongsheng Guo 1 Shuai Li 0000-0001-8316-5289 2 Predrag S. Stanimirovic 3
title Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
spellingShingle Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
Shuai Li
title_short Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
title_full Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
title_fullStr Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
title_full_unstemmed Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
title_sort Analysis and Application of Modified ZNN Design With Robustness Against Harmonic Noise
author_id_str_mv 42ff9eed09bcd109fbbe484a0f99a8a8
author_id_fullname_str_mv 42ff9eed09bcd109fbbe484a0f99a8a8_***_Shuai Li
author Shuai Li
author2 Dongsheng Guo
Shuai Li
Predrag S. Stanimirovic
format Journal article
container_title IEEE Transactions on Industrial Informatics
container_volume 16
container_issue 7
container_start_page 4627
publishDate 2020
institution Swansea University
issn 1551-3203
1941-0050
doi_str_mv 10.1109/tii.2019.2944517
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
document_store_str 0
active_str 0
description The Zhang neural network (ZNN) has recently realized remarkable success in solving time-varying problems. Harmonic noise widely exists in industrial applications and can severely affect the solution computed by ZNN models. This work attempts to solve the aforementioned limitations by providing the first ZNN design with an inherent capability to prohibit harmonic noise. Moreover, it opens new opportunities to shift the research on ZNNs in ideal situations to that with theoretical consideration on non-ideal working environments. We establish a modified ZNN design formula in a noisy environment by incorporating the dynamics of harmonic signals. Theoretical analysis shows the convergence of the proposed ZNN design. An application case study for the new ZNN model verifies its effectiveness for time-varying matrix inversion in the presence of harmonic noise. The simulation further substantiates the effectiveness, superiority, and application prospects of the proposed ZNN design.
published_date 2020-07-01T04:04:50Z
_version_ 1763753370904952832
score 11.036334

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