Skip to main content
Springer Nature Link
Log in

Tracking control and parameter identification with quantized ARMAX systems

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

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Chen H F, Guo L. Identification and Stochastic Adaptive Control. Boston: Birkhauser, 1991

    Book  MATH  Google Scholar 

  2. Liu T F, Jiang Z P. Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties. Sci China Inf Sci, 2016, 59: 072202

    Article  Google Scholar 

  3. Zheng C, Li L, Wang L Y, et al. How much information is needed in quantized nonlinear control? Sci China Inf Sci, 2018, 61: 092205

    Article  MathSciNet  Google Scholar 

  4. Wang L Y, Zhang J F, Yin G G. System identification using binary sensors. IEEE Trans Autom Control, 2003, 48: 1892–1907

    Article  MathSciNet  MATH  Google Scholar 

  5. Guo J, Zhang J F, Zhao Y L. Adaptive tracking control of a class of first-order systems with binary-valued observations and time-varying thresholds. IEEE Trans Autom Control, 2011, 56: 2991–2996

    Article  MathSciNet  MATH  Google Scholar 

  6. Zhao Y L, Guo J, Zhang J F. Adaptive tracking control of linear systems with binary-valued observations and periodic target. IEEE Trans Autom Control, 2013, 58: 1293–1298

    Article  MathSciNet  MATH  Google Scholar 

  7. Chen H F, Zhang J F. Convergence rates in stochastic adaptive tracking. Int J Control, 1989, 49: 1915–1935

    MathSciNet  MATH  Google Scholar 

  8. Fu M Y, Xie L H. The sector bound approach to quantized feedback control. IEEE Trans Autom Control, 2005, 50: 1698–1711

    Article  MathSciNet  MATH  Google Scholar 

  9. Chen H F, Guo L. Adaptive control via consistent estimation for deterministic systems. Int J Control, 1987, 45: 2183–2202

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant Nos. 61877057, 61227902).

Author information

Authors and Affiliations

  1. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Lida Jing & Jifeng Zhang

  2. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China

    Lida Jing & Jifeng Zhang

Authors
  1. Lida Jing
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Jifeng Zhang
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Jifeng Zhang.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jing, L., Zhang, J. Tracking control and parameter identification with quantized ARMAX systems. Sci. China Inf. Sci. 62, 199203 (2019). https://doi.org/10.1007/s11432-018-9677-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-018-9677-9