Stabilization of nonlinear systems with limited information feedback

@article{Liberzon2005StabilizationON,
  title={Stabilization of nonlinear systems with limited information feedback},
  author={Daniel Liberzon and Jo{\~a}o Pedro Hespanha},
  journal={IEEE Transactions on Automatic Control},
  year={2005},
  volume={50},
  pages={910-915}
}
This note is concerned with the problem of stabilizing a nonlinear continuous-time system by using sampled encoded measurements of the state. We demonstrate that global asymptotic stabilization is possible if a suitable relationship holds between the number of values taken by the encoder, the sampling period, and a system parameter, provided that a feedback law achieving input-to-state stability with respect to measurement errors can be found. The issue of relaxing the latter condition is also… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 312 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 165 extracted citations

312 Citations

02040'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 312 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Integral ISS and Nonlinear Stabilizability via Encoded Information, 2004, submitted for publication

  • C. De Persis
  • 2004
1 Excerpt

Exponential stabilisability of finite-dimensional linear systems with limited data

  • G. N. Nair, R. J. Evans
  • rates,” Automatica,
  • 2003
1 Excerpt

Feedback designs in information-based control,

  • J. Baillieul
  • Stochastic Theory and Control,
  • 2002
1 Excerpt

Nonlinear Systems, 3rd ed

  • H. K. Khalil
  • Upper Saddle River, NJ: Prentice-Hall,
  • 2002

Similar Papers

Loading similar papers…