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Asynchronous sampling for decentralized periodic event-triggered control

Asynchronous sampling for decentralized periodic event-triggered control

Fu, Anqi, Tomic, Ivana ORCID: 0000-0003-3502-5980 and McCann, Julie A. (0219) Asynchronous sampling for decentralized periodic event-triggered control. In: 2019 American Control Conference (ACC). IEEE, pp. 145-150. ISBN 978-1538679012 ISSN 0743-1619 (Print), 2378-5861 (Online)

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Decentralized periodic event-triggered control (DPETC) strategies are an attractive solution for wireless cyberphysical systems where resources such as network bandwidth and sensor power are scarce. This is because these strategies have the advantage of preventing unnecessary data transmissions and therefore reduce bandwidth and energy requirements, however the sensor sampling regime remains synchronous. Typically the action of sampling leads almost immediately to a transmission on an event being detected. If the sampling is synchronous, multiple transmission requests may be raised at the same time which further leads to bursty traffic patterns. Bursty traffic patterns are critical to the DPETC systems performance as the probability of collisions and the amount of requested bandwidth resources become high ultimately causing delays. In this paper, we propose an asynchronous sampling scheme for DPETC. The scheme ensures that at each sampling time, no more than one transmission request can be generated which prevents the occurrence of network traffic collision. At the same time, for the DPETC system with asynchronous sampling a pre-designed global exponential stability and L2-gain performance can still be guaranteed. We illustrate the effectiveness of the approach through a numerical example.

Item Type: Conference Proceedings
Title of Proceedings: 2019 American Control Conference (ACC)
Uncontrolled Keywords: event-triggered control, decentralized control, asynchronous sampling, wireless networked control systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Internet of Things and Security (ISEC)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 26 Nov 2020 22:35
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 2
Selected for REF2021: REF 2

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