Extension and evaluation of model-based periodic event-triggered control

J.L.C. Verhaegh, T.M.P. Gommans, W.P.M.H. Heemels

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

6 Citations (Scopus)

Abstract

Periodic event-triggered control (PETC) is a control strategy that combines ideas from conventional periodic sampled-data control and event-triggered control. By communicating periodically sampled sensor and controller data only when needed to guarantee stability and performance properties, PETC is capable of reducing the number of transmissions significantly, while still retaining a satisfactory closed-loop behavior. In this paper, we provide an extension of an existing model-based PETC strategy for linear systems by including an (approximate) disturbance model. This extension can further enhance communication savings in the presence of disturbances. In addition, we evaluate the extended model-based PETC strategy by comparing this strategy to the standard model-based PETC and to a model-based periodic time-triggered control (PTTC) strategy. In this PTTC strategy, data is transmitted at fixed sampling times. For the evaluation, we present techniques for stability and ℓ2-gain performance analysis for both the PETC strategy and the PTTC strategy. Finally, the advantage of the (extended) PETC strategy over the PTTC strategy will be demonstrated by providing numerical examples.

Original languageEnglish
Title of host publication2013 European Control Conference, ECC 2013
Pages1138-1144
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2013
Event12th European Control Conference (ECC 2013) - Zürich, Switzerland
Duration: 17 Jul 201319 Jul 2013
Conference number: 12
http://www.ecc2013.ethz.ch/

Conference

Conference12th European Control Conference (ECC 2013)
Abbreviated titleECC 2013
CountrySwitzerland
CityZürich
Period17/07/1319/07/13
OtherEuropean Control Conference 2013
Internet address

Fingerprint

Dive into the research topics of 'Extension and evaluation of model-based periodic event-triggered control'. Together they form a unique fingerprint.

Cite this