Adaptive Design of Real-Time Control Systems subject to Sporadic Overruns

Paolo Pazzaglia, Arne Hamann, Dirk Ziegenbein, Martina Maggio

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


Most off-the-shelf embedded control systems lack proper mechanisms to handle computational overload conditions. Therefore, delays may accumulate and produce overruns, potentially harming the stability and performance of the controlled system. In this paper, we explore a controller implementation in which overrun events are tolerated and tackled with a proper countermeasure, which can be easily plugged into existing controller implementations and in particular commercial off-the-shelf control systems. When an overrun occurs, the control period of the next job is reinitialized and its control parameters are adjusted to counteract the additional delay of the previous job. The main strength of this approach resides in a straightforward applicability and in a high flexibility in deployment. It does neither require a stochastic model of the timing evolution of the system, nor rely on prediction of future delays. We provide an exact tool to determine the system stability, which requires only the knowledge of the worst case response time. The final controlled system exhibits a good trade-off between simplicity and performance, both during nominal and overload conditions.

Original languageEnglish
Title of host publicationProceedings of the 2021 Design, Automation and Test in Europe, DATE 2021
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9783981926354
Publication statusPublished - 2021 Feb 1
Externally publishedYes
Event2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021 - Virtual, Online
Duration: 2021 Feb 12021 Feb 5

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591


Conference2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021
CityVirtual, Online

Bibliographical note

Funding Information:
This research received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871259 (ADMORPH).

Publisher Copyright:
© 2021 EDAA.

Subject classification (UKÄ)

  • Control Engineering


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