Cited by 29Adaptive Control of Nonlinear SystemsNeural Networks and ApplicationsFuzzy Logic and Control Systems

Deep learning controller for nonlinear system based on Lyapunov stability criterion

Zaki, Ahmad M., El-Nagar, Ahmad M., El-Bardini, Mohammad, Soliman, F. A. S.·2021·Neural Computing and Applications

Integrity signals

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Crossref · 10.1007/s00521-020-05077-1

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53 of 53 references verified0 citation errors · 0 not checkable

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Authors
Zaki, A. M., El-Nagar, A. M., El-Bardini, M., & Soliman, F. A. S.
Affiliations
  • Menoufia University (EG)
  • Nuclear Materials Authority (EG)
Corresponding author
El-Nagar, Ahmad M.
Venue
Neural Computing and Applications
Published
2020-06-13
Volume
33
Issue
5
Pages
1515-1531
ISSN
  • 0941-0643 (ISSN-L)
  • 1433-3058
OpenAlex
W3034862588
Cited by
29
References
53
Citations by year
2026: 1 · 2025: 6 · 2024: 3 · 2023: 8 · 2022: 6 · 2021: 4 · 2020: 1
FWCI
2.35
Type
journal article
Language
en
Open access
closed
Locations
Neural Computing and Applications (publishedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Fuzzy Logic and Control Systems
Keywords
nonlinear systems, Lyapunov stability, feedforward neural networks, restricted Boltzmann machine, unsupervised pre-training, system uncertainty, external disturbances, parameter variation, electromechanical systems, Arduino

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