Analysis of linear quadratic control loops with decentralized event-triggered sensing: rate and performance guarantees

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2 Citaten (Scopus)
11 Downloads (Pure)

Samenvatting

We consider a control loop with several distributed sensor agents. Each sensor measures a subset of the states and broadcasts data to a remote controller and the other sensors according to a threshold-based event-triggered policy. This policy specifies that each sensor transmits data when the norm of the error between the actual measurement and an estimate of this measurement exceeds a threshold. The controller incorporates a state estimator relying on the data received from the sensors and enforces a linear feedback control policy. Considering an average quadratic performance index, we provide: (i) upper bounds on the performance of such a decentralized event-triggered policy with respect to the optimal policy when all the agents transmit at maximum rate; and (ii) lower bounds on the average inter-transmission time for the overall networked control system. Moreover, we discuss the conservativeness of the bounds considering some simple cases. The usefulness of the results is highlighted via a numerical example.

Originele taal-2Engels
Titel2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's6702-6707
Aantal pagina's6
ISBN van elektronische versie978-1-5090-2873-3
ISBN van geprinte versie978-1-5090-2874-0
DOI's
StatusGepubliceerd - 18 jan 2018
Evenement56th IEEE Conference on Decision and Control (CDC 2017), 12-15 December 2017, Melbourne, Australia - Melbourne, Australië
Duur: 12 dec 201715 dec 2017
Congresnummer: 56
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407

Congres

Congres56th IEEE Conference on Decision and Control (CDC 2017), 12-15 December 2017, Melbourne, Australia
Verkorte titelCDC 2017
LandAustralië
StadMelbourne
Periode12/12/1715/12/17
Internet adres

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Citeer dit

Balaghi, I. M. H., & Antunes, D. J. (2018). Analysis of linear quadratic control loops with decentralized event-triggered sensing: rate and performance guarantees. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (blz. 6702-6707). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2017.8264669