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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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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
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa52457
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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 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.
College: College of Engineering
Issue: 7
Start Page: 4627
End Page: 4638