Skip to main content
SpringerLink
Log in

A novel frequency-dependent hysteresis model based on improved neural Turing machine

  • Letter
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Li Z W, Song Q K, Cheng L, et al. Snoring detection based on a stretchable strain sensor. Sci China Inf Sci, 2021, 64: 174201

    Article  Google Scholar 

  2. Wang J R, Zou Q Z. Rapid probe engagement and withdrawal with force minimization in atomic force microscopy: a learning-based online-searching approach. IEEE/ASME Trans Mechatron, 2020, 25: 581–593

    Article  Google Scholar 

  3. Li M, Xi N, Wang Y C, et al. Atomic force microscopy in probing tumor physics for nanomedicine. IEEE Trans Nanotechnol, 2019, 18: 83–113

    Article  ADS  Google Scholar 

  4. Tao Y D, Li H X, Zhu L M. Rate-dependent hysteresis modeling and compensation of piezoelectric actuators using Gaussian process. Sens Actuat A-Phys, 2019, 295: 357–365

    Article  CAS  Google Scholar 

  5. Ren Y, Chen M, Liu J Y. Bilateral coordinate boundary adaptive control for a helicopter lifting system with backlash-like hysteresis. Sci China Inf Sci, 2020, 63: 119203

    Article  MathSciNet  Google Scholar 

  6. Zhou Z P, Tan Y H, Liu X F. State estimation of dynamic systems with sandwich structure and hysteresis. Mech Syst Signal Process, 2019, 126: 82–97

    Article  ADS  Google Scholar 

  7. An Y, Meng H, Gao Y, et al. Application of machine learning method in optical molecular imaging: a review. Sci China Inf Sci, 2020, 63: 111101

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61633012, 62003172, 21933006).

Author information

Authors and Affiliations

  1. Institute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin, 300350, China

    Yinan Wu, Yongchun Fang, Zhi Fan & Cunhuan Liu

  2. Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, 300350, China

    Yinan Wu, Yongchun Fang, Zhi Fan & Cunhuan Liu

Authors
  1. Yinan Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yongchun Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhi Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cunhuan Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yongchun Fang.

Additional information

Supporting information

Appendixes A–C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Supplementary File

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, Y., Fang, Y., Fan, Z. et al. A novel frequency-dependent hysteresis model based on improved neural Turing machine. Sci. China Inf. Sci. 66, 119203 (2023). https://doi.org/10.1007/s11432-020-3157-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-020-3157-5

Search

Navigation