Name
Abstract | ||
|---|---|---|
This paper deals with networked control systems comprising LTI plants controlled over scalar additive noise channels subject to signal-to-noise ratio (SNR) constraints. We present a general framework, based upon convex optimization concepts, that can accommodate several situations of interest. Our results make explicit the fact that exploiting feedback around the channel plays a key role in reducing the minimal SNR that is compatible with stability. The results also provide a characterization of the best achievable performance subject to an SNR constraint. We apply the results to specific networked control architectures, and provide a numerical example. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.automatica.2009.12.001 | Automatica |
Keywords | Field | DocType |
Networked control systems,Signal-to-noise ratio,Linear time-invariant systems,Optimal control,Networks | LTI system theory,Mathematical optimization,Optimal control,Control theory,Signal-to-noise ratio,Scalar (physics),Communication channel,Network architecture,Control system,Convex optimization,Mathematics | Journal |
Volume | Issue | ISSN |
46 | 2 | 0005-1098 |
Citations | PageRank | References |
22 | 0.78 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo I. Silva | 1 | 197 | 17.48 |
| Graham C. Goodwin | 2 | 899 | 172.24 |
| Daniel E. Quevedo | 3 | 1393 | 100.60 |