arXiv Open Access 2021

Computing the sampling performance of event-triggered control

Gabriel de Albuquerque Gleizer Manuel Mazo
Lihat Sumber

Abstrak

In the context of networked control systems, event-triggered control (ETC) has emerged as a major topic due to its alleged resource usage reduction capabilities. However, this is mainly supported by numerical simulations, and very little is formally known about the traffic generated by ETC. This work devises a method to estimate, and in some cases to determine exactly, the minimum average inter-sample time (MAIST) generated by periodic event-triggered control (PETC) of linear systems. The method involves abstracting the traffic model using a bisimulation refinement algorithm and finding the cycle of minimum average length in the graph associated to it. This always gives a lower bound to the actual MAIST. Moreover, if this cycle turns out to be related to a periodic solution of the closed-loop PETC system, the performance metric is exact.

Topik & Kata Kunci

Penulis (2)

G

Gabriel de Albuquerque Gleizer

M

Manuel Mazo

Format Sitasi

Gleizer, G.d.A., Mazo, M. (2021). Computing the sampling performance of event-triggered control. https://arxiv.org/abs/2103.00919

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓