Name
Abstract | ||
|---|---|---|
In this paper we propose a variable sampling rate approach for networked control system. During control procedure we regulate sampling rate in terms of system behavior intensity. Input increment is used as indicator to reflect the system in- tensity. A regulator is placed at the controller side, with f ull- state feedback it can predict the system behavior in the future and determine the next sampling instant according our regu- lation rule. We implement our approach both over ideal net- work and average modeled dropout network. By simulation we show that by using our approach we realize more effec- tive usage of network bandwidth than using constant sampling rate. We also present simulation method, wherein we can find regulation rule that optimize the networked control systems. |
Year | Venue | Field |
|---|---|---|
2007 | ALCOSP | Regulator,Control theory,Control theory,Computer science,Networked control system,Sampling (signal processing),Control engineering,Bandwidth (signal processing),Sampling (statistics),Control system |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Da Xu | 1 | 1 | 2.72 |
| Chih-Chung Chen | 2 | 62 | 7.57 |
| Dragan Obradovic | 3 | 71 | 27.12 |
| Bernhard Lang | 4 | 1 | 0.70 |