这是indexloc提供的服务,不要输入任何密码
Skip to main content
Log in

Disturbance observer-based optimal longitudinal trajectory control of near space vehicle

  • 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

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

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

Instant access to the full article PDF.

References

  1. Xu B, Gao D X, Wang S X. Adaptive neural control based on HGO for hypersonic flight vehicles. Sci China Inf Sci, 2011, 54: 511–520

    Article  MathSciNet  MATH  Google Scholar 

  2. Wang D, Mu C X. Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism. Sci China Inf Sci, 2017, 60: 058201

    Article  Google Scholar 

  3. Zargarzadeh H, Dierks T, Jagannathan S. Optimal control of nonlinear continuous-time systems in strictfeedback form. IEEE Trans Neural Netw Learn Syst, 2015, 26: 2535–2549

    Article  MathSciNet  Google Scholar 

  4. Yang X, Liu D R, Wei Q L, et al. Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming. Neurocomputing, 2016, 198: 80–90

    Article  Google Scholar 

  5. Chen W H, Yang J, Guo L, et al. Disturbanceobserver-based control and related methods-an overview. IEEE Trans Ind Electron, 2016, 63: 1083–1095

    Article  Google Scholar 

  6. Zhao Z H, Yang J, Liu C J, et al. Nonlinear composite bilateral control framework for n-DOF teleoperation systems with disturbances. Sci China Inf Sci, 2018, 61: 070221

    Article  MathSciNet  Google Scholar 

  7. Nodland D, Zargarzadeh H, Jagannathan S. Neural network-based optimal adaptive output feedback control of a helicopter UAV. IEEE Trans Neural Netw Learn Syst, 2013, 24: 1061–1073

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Aeronautical Science Foundation of China (Grant No. 20165752049) and Natural Science Foundation of Jiangsu Province (Grant No. BK20171417).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mou Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xia, R., Wu, Q. & Chen, M. Disturbance observer-based optimal longitudinal trajectory control of near space vehicle. Sci. China Inf. Sci. 62, 50212 (2019). https://doi.org/10.1007/s11432-018-9683-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1007/s11432-018-9683-y