Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
697760 | Automatica | 2010 | 9 Pages |
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.
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Eduardo I. Silva, Graham C. Goodwin, Daniel E. Quevedo,