Name
Title | ||
|---|---|---|
Prediction-based approach to finite-time stabilization of networked control systems with time delays and data packet dropouts. |
Abstract | ||
|---|---|---|
The problem of finite-time stabilization is investigated for a class of discrete-time networked control systems with network induced time delays and data packet dropouts in the feedback channel and the forward channel. By using predictive networked control methods, novel finite-time state-feedback and output-feedback stabilization controllers are proposed, and the time delays and data packet dropouts are compensated actively. For the given discrete-time networked control system, sufficient conditions of finite-time stabilization are given. Numerical examples are provided to illustrate the effectiveness of the proposed results in this paper. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neucom.2018.09.057 | Neurocomputing |
Keywords | Field | DocType |
Finite-time stability,Networked control systems,Predictive control,Time delays,Data packet dropouts | Networked control system,Control theory,Network packet,Communication channel,Artificial intelligence,Control system,Mathematics,Machine learning,Finite time | Journal |
Volume | ISSN | Citations |
329 | 0925-2312 | 2 |
PageRank | References | Authors |
0.36 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanjiang Li | 1 | 2 | 1.38 |
| Guo-Ping Liu | 2 | 33 | 4.42 |
| Shuli Sun | 3 | 734 | 52.41 |
| Chong Tan | 4 | 31 | 2.95 |