Abstract
This paper investigates the problem of global output-feedback stabilization by sampled-data control for nonlinear systems with unknown measurement sensitivity. By employing the technique of output-feedback domination, a sampled-data output-feedback control law together with a sampled-data state observer is explicitly constructed. By an exquisite selection of both the domination gain and sampling period, the resultant control law is a globally asymptotic stabilizer even in the presence of unknown measurement sensitivity. The novelty of this paper is the development of a distinct approach which can tackle the problem of output-feedback stabilization for the nonlinear systems with unknown measurement sensitivity.
| Original language | English |
|---|---|
| Pages (from-to) | 4909-4927 |
| Number of pages | 19 |
| Journal | International Journal of Robust and Nonlinear Control |
| Volume | 29 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 2019 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Chemical Engineering(all)
- Biomedical Engineering
- Aerospace Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
Cite this
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Global sampled-data output-feedback stabilization for nonlinear systems with unknown measurement sensitivity. / Wang, Pan; Chai, Lin; Chen, Chih-Chiang; Fei, Shumin.
In: International Journal of Robust and Nonlinear Control, Vol. 29, No. 14, 01.01.2019, p. 4909-4927.Research output: Contribution to journal › Article
TY - JOUR
T1 - Global sampled-data output-feedback stabilization for nonlinear systems with unknown measurement sensitivity
AU - Wang, Pan
AU - Chai, Lin
AU - Chen, Chih-Chiang
AU - Fei, Shumin
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This paper investigates the problem of global output-feedback stabilization by sampled-data control for nonlinear systems with unknown measurement sensitivity. By employing the technique of output-feedback domination, a sampled-data output-feedback control law together with a sampled-data state observer is explicitly constructed. By an exquisite selection of both the domination gain and sampling period, the resultant control law is a globally asymptotic stabilizer even in the presence of unknown measurement sensitivity. The novelty of this paper is the development of a distinct approach which can tackle the problem of output-feedback stabilization for the nonlinear systems with unknown measurement sensitivity.
AB - This paper investigates the problem of global output-feedback stabilization by sampled-data control for nonlinear systems with unknown measurement sensitivity. By employing the technique of output-feedback domination, a sampled-data output-feedback control law together with a sampled-data state observer is explicitly constructed. By an exquisite selection of both the domination gain and sampling period, the resultant control law is a globally asymptotic stabilizer even in the presence of unknown measurement sensitivity. The novelty of this paper is the development of a distinct approach which can tackle the problem of output-feedback stabilization for the nonlinear systems with unknown measurement sensitivity.
UR - http://www.scopus.com/inward/record.url?scp=85069664405&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069664405&partnerID=8YFLogxK
U2 - 10.1002/rnc.4668
DO - 10.1002/rnc.4668
M3 - Article
AN - SCOPUS:85069664405
VL - 29
SP - 4909
EP - 4927
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
SN - 1049-8923
IS - 14
ER -