Cited by 22Vibration Control and Rheological FluidsAdvanced Adaptive Filtering TechniquesMagnetic Bearings and Levitation Dynamics

Adaptive wavelet neural network controller for active suppression control of a diaphragm-type pneumatic vibration isolator

Chen, Hung-Yi, Liang, Jin-Wei·2017·International Journal of Control, Automation and Systems

Integrity signals

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Crossref · 10.1007/s12555-014-0428-2

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  • The method by Chen and Liang [114] applied an adaptive Wavelet Neural Network (WNN) algorithm to capture the time varying characteristics of nonlinear system as well as to nullify the response payload.

    “The method applied an adaptive Wavelet Neural Network (WNN) algorithm [16] to capture the time varying characteristics of nonlinear system as well as to nullify the response payload.”
  • Chen and Liang [114] offered an AVC method to boost the performance of a pneumatic isolation system in the low-frequency range.

    “Chen and Liang [114] offered an AVC method to boost the performance of a pneumatic isolation system in the low-frequency range.”

Cited by

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Authors
Chen, H.-Y., & Liang, J.-W.
Affiliations
Ming Chi University of Technology (TW)
Corresponding author
Chen, Hung-Yi
Venue
International Journal of Control, Automation and Systems
Published
2017-03-27
Volume
15
Issue
3
Pages
1456-1465
ISSN
  • 1598-6446 (ISSN-L)
  • 2005-4092
OpenAlex
W2597618873
Cited by
22
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 5 · 2017: 1
FWCI
2.86
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Control Automation and Systems (publishedVersion)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Vibration Control and Rheological Fluids
  • Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Magnetic Bearings and Levitation Dynamics
Keywords
adaptive wavelet neural network, pneumatic vibration isolation, active vibration control, Lyapunov stability, adaptive learning rate, ground vibration, nonlinear time-varying systems, intelligent control

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