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 |
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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 |
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