Selivanov, A. orcid.org/0000-0001-5075-7229 and Fridman, E. (2016) A switching approach to event-triggered control. In: 2015 54th IEEE Conference on Decision and Control (CDC). 54th IEEE Conference on Decision and Control (CDC), 15-18 Dec 2015, Osaka, Japan. IEEE , pp. 5468-5473. ISBN 9781479978861
Abstract
Event-trigger is used to obtain the measurements transmission instants in networked control systems. Under continuous measurements it can generate an infinite number of events in finite time (Zeno phenomenon) what makes it inapplicable to the real world systems. Periodic event-trigger avoids this behavior but does not use all the available information. In the present paper we aim to exploit the advantage of the continuous-time measurements and guarantee positive lower bound on the inter-event times. Our approach is based on a switching between periodic sampling and continuous event-trigger. It is applicable to the systems with polytopic-type uncertainties and assures the Input-to-State Stability in the presence of external disturbances and measurement noise. By an example we demonstrate that the switching approach to event-triggered control can reduce the network workload compared to periodic event-trigger.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 Feb 2020 16:06 |
Last Modified: | 07 Feb 2020 16:11 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/CDC.2015.7403076 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155519 |