arXiv Open Access 2019

Event-triggered Pulse Control with Model Learning (if Necessary)

Dominik Baumann Friedrich Solowjow Karl Henrik Johansson Sebastian Trimpe

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Abstrak

In networked control systems, communication is a shared and therefore scarce resource. Event-triggered control (ETC) can achieve high performance control with a significantly reduced amount of samples compared to classical, periodic control schemes. However, ETC methods usually rely on the availability of an accurate dynamics model, which is oftentimes not readily available. In this paper, we propose a novel event-triggered pulse control strategy that learns dynamics models if necessary. In addition to adapting to changing dynamics, the method also represents a suitable replacement for the integral part typically used in periodic control.

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Penulis (4)

Dominik Baumann

Friedrich Solowjow

Karl Henrik Johansson

Sebastian Trimpe

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APA MLA BibTeX

Baumann, D., Solowjow, F., Johansson, K.H., Trimpe, S. (2019). Event-triggered Pulse Control with Model Learning (if Necessary). https://arxiv.org/abs/1903.08046

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓