Bo Bernhardsson
Modellering och styrning av osäkra system. Programdirektör för masterprogrammet i maskininlärning, system och styrning.
Optimal Linear Control over Channels with Signal-to-Noise Ratio Constraints
Författare
Summary, in English
It is shown that optimal LTI controllers can be obtained by solving a convex optimization problem in the Youla parameter and performing a spectral factorization.
The functional to minimize is a sum of two terms: the first is the cost in the classical linear quadratic control problem and the second is a new term that is induced by the channel noise.
A necessary and sufficient condition on the SNR for stabilization by an LTI controller follows directly from a constraint of the optimization problem. It is shown how the minimization can be approximated by a semidefinite program. The solution is finally illustrated by a numerical example.
Avdelning/ar
- Institutionen för reglerteknik
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Publiceringsår
2012
Språk
Engelska
Publikation/Tidskrift/Serie
IEEE Transactions on Automatic Control
Fulltext
- Available as PDF - 194 kB
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Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Control Engineering
Nyckelord
- ACGN channel
- control over noisy channels
- linear-quadratic-Gaussian control
- networked control systems
- signal-to-noise ratio (SNR)
Status
Submitted
Projekt
- LCCC
Forskningsgrupp
- LCCC
ISBN/ISSN/Övrigt
- ISSN: 0018-9286