A New Perspective on Quality Evaluation for Control Systems with Stochastic Timing

Gaukler M, Michalka A, Ulbrich P, Klaus T (2018)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2018

Publisher: ACM Press

City/Town: New York, NY, USA

Pages Range: 91-100

Conference Proceedings Title: Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (HSCC '18)

Event location: Porto, Portugal PT

ISBN: 978-1-4503-5642-8/18/04

URI: https://dl.acm.org/authorize?N667444

DOI: 10.1145/3178126.3178134

Abstract

As control applications are particularly sensitive to timing variations, the Quality of Control (QoC) is degraded by varying execution conditions of the underlying real-time system. In particular, transitions between different execution or environmental conditions pose a significant issue as they may impact the QoC unexpectedly.

So far, the QoC is usually evaluated either in a stationary, time-invariant way, which cannot analyse said transitions, or by simulation, which becomes inefficient when confronted with random influencing factors.
In this paper, we propose a new perspective on QoC evaluation for modern, adaptive real-time systems with varying timing conditions. For this, we present a time-variant stochastic assessment approach that incorporates the effects mentioned before. Our results demonstrate that adaptive scheduling and runtime behavior considerably impacts the QoC. At the same time, the proposed scheme significantly outperforms a traditional simulation.

Authors with CRIS profile

Maximilian Gaukler Chair of Automatic Control Andreas Michalka Chair of Automatic Control Peter Ulbrich Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Tobias Klaus Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)

Related research project(s)

Quality-aware Co-Design of Responsive Real-Time Control Systems (QRONOS) Sept. 1, 2015 - Sept. 30, 2021 Aspect-Oriented Real-Time Architectures (Phase 2) (AORTA) Aug. 1, 2017 - Sept. 30, 2020

How to cite

APA:

Gaukler, M., Michalka, A., Ulbrich, P., & Klaus, T. (2018). A New Perspective on Quality Evaluation for Control Systems with Stochastic Timing. In Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (HSCC '18) (pp. 91-100). Porto, Portugal, PT: New York, NY, USA: ACM Press.

MLA:

Gaukler, Maximilian, et al. "A New Perspective on Quality Evaluation for Control Systems with Stochastic Timing." Proceedings of the HSCC '18: 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), Porto, Portugal New York, NY, USA: ACM Press, 2018. 91-100.

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