Name
Title | ||
|---|---|---|
Global Sampled-Data Output Feedback Stabilisation For A Class Of Nonlinear Systems With Unknown Output Function |
Abstract | ||
|---|---|---|
This paper discusses the problem of global sampled-data output feedback stabilisation for a class of nonlinear systems whose output function is unknown. A systematic design scheme is developed to construct a linear output feedback control law in sampled-data form. An explicit formula for the maximum allowable sampling period is computed to guarantee global stability of the uncertain nonlinear systems under the proposed controller with appropriate gains. Two examples are given to demonstrate the effectiveness of the proposed design procedure. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1080/00207179.2015.1081294 | INTERNATIONAL JOURNAL OF CONTROL |
Keywords | Field | DocType |
Output feedback, sampled-data, nonlinear systems, feedback domination | Mathematical optimization,Control theory,Nonlinear system,Nonlinear control,Control theory,Sampling (signal processing),Feedback linearization,Mathematics | Journal |
Volume | Issue | ISSN |
89 | 3 | 0020-7179 |
Citations | PageRank | References |
7 | 0.45 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Yong Zhai | 1 | 91 | 12.92 |
| Haibo Du | 2 | 808 | 37.15 |
| Shu-Min Fei | 3 | 1150 | 96.93 |