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)

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

Linear Quadratic Control
Performance Guarantee
Decentralized
Sensing
Sensor
Sensors
Controller
Conservativeness
Distributed Sensor
Linear Control
Networked Control Systems
Control Policy
Performance Index
Optimal Policy
Controllers
Networked control systems
Broadcast
Feedback Control
Exceed
Feedback control

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
Balaghi, I.M.Hadi ; Antunes, Duarte J. / Analysis of linear quadratic control loops with decentralized event-triggered sensing : rate and performance guarantees. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Piscataway : Institute of Electrical and Electronics Engineers, 2018. pp. 6702-6707
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Balaghi, IMH & Antunes, DJ 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. Institute of Electrical and Electronics Engineers, Piscataway, pp. 6702-6707, 56th IEEE Conference on Decision and Control (CDC 2017), Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8264669

Analysis of linear quadratic control loops with decentralized event-triggered sensing : rate and performance guarantees. / Balaghi, I.M.Hadi; Antunes, Duarte J.

2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Piscataway : Institute of Electrical and Electronics Engineers, 2018. p. 6702-6707.

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

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Balaghi IMH, Antunes DJ. 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. Piscataway: Institute of Electrical and Electronics Engineers. 2018. p. 6702-6707 https://doi.org/10.1109/CDC.2017.8264669