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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
11 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages6702-6707
Number of pages6
ISBN (Electronic)978-1-5090-2873-3
ISBN (Print)978-1-5090-2874-0
DOIs
Publication statusPublished - 18 Jan 2018
Event56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017
Conference number: 56
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407

Conference

Conference56th IEEE Conference on Decision and Control (CDC 2017)
Abbreviated titleCDC 2017
CountryAustralia
CityMelbourne
Period12/12/1715/12/17
Internet address

    Fingerprint

Cite this

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 (pp. 6702-6707). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2017.8264669