Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems

Anton Cervin, Paolo Pazzaglia, Mohammadreza Barzegaran, Rouhollah Mahfouzi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

This paper presents JitterTime, a small Matlab toolbox for calculating the transient performance of a control system in non-ideal timing scenarios. Such scenarios arise in networked and embedded systems, where several applications share a set of limited and varying resources. Technically, the toolbox evaluates the time-varying state covariance of a mixed continuous/discrete linear system driven by white noise. It also integrates a quadratic cost function for the system. The passing of time and the updating of the discrete-time systems are explicitly managed by the user in a simulation run. Since the timing is completely handled by the user, any complex timing scenario can be analyzed, including adaptive scheduling and reconfiguration between different system modes. Three examples of how the toolbox can be used to evaluate the control performance of such time-varying systems are given.
Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation
PublisherIEEE
Publication date2019
Pages1025-1032
ISBN (Print)978-1-7281-0303-7
DOIs
Publication statusPublished - 2019
Event24th IEEE International Conference on Emerging Technologies and Factory Automation - Paraninfo de la Universidad de Zaragoza, Zaragoza, Spain
Duration: 10 Sep 201913 Sep 2019
http://www.etfa2019.org/

Conference

Conference24th IEEE International Conference on Emerging Technologies and Factory Automation
LocationParaninfo de la Universidad de Zaragoza
CountrySpain
CityZaragoza
Period10/09/201913/09/2019
Internet address

Cite this

Cervin, A., Pazzaglia, P., Barzegaran, M., & Mahfouzi, R. (2019). Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. In Proceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation (pp. 1025-1032). IEEE. https://doi.org/10.1109/etfa.2019.8869221
Cervin, Anton ; Pazzaglia, Paolo ; Barzegaran, Mohammadreza ; Mahfouzi, Rouhollah. / Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. Proceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation. IEEE, 2019. pp. 1025-1032
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title = "Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems",
abstract = "This paper presents JitterTime, a small Matlab toolbox for calculating the transient performance of a control system in non-ideal timing scenarios. Such scenarios arise in networked and embedded systems, where several applications share a set of limited and varying resources. Technically, the toolbox evaluates the time-varying state covariance of a mixed continuous/discrete linear system driven by white noise. It also integrates a quadratic cost function for the system. The passing of time and the updating of the discrete-time systems are explicitly managed by the user in a simulation run. Since the timing is completely handled by the user, any complex timing scenario can be analyzed, including adaptive scheduling and reconfiguration between different system modes. Three examples of how the toolbox can be used to evaluate the control performance of such time-varying systems are given.",
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Cervin, A, Pazzaglia, P, Barzegaran, M & Mahfouzi, R 2019, Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. in Proceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation. IEEE, pp. 1025-1032, 24th IEEE International Conference on Emerging Technologies and Factory Automation, Zaragoza, Spain, 10/09/2019. https://doi.org/10.1109/etfa.2019.8869221

Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. / Cervin, Anton; Pazzaglia, Paolo; Barzegaran, Mohammadreza; Mahfouzi, Rouhollah.

Proceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation. IEEE, 2019. p. 1025-1032.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AB - This paper presents JitterTime, a small Matlab toolbox for calculating the transient performance of a control system in non-ideal timing scenarios. Such scenarios arise in networked and embedded systems, where several applications share a set of limited and varying resources. Technically, the toolbox evaluates the time-varying state covariance of a mixed continuous/discrete linear system driven by white noise. It also integrates a quadratic cost function for the system. The passing of time and the updating of the discrete-time systems are explicitly managed by the user in a simulation run. Since the timing is completely handled by the user, any complex timing scenario can be analyzed, including adaptive scheduling and reconfiguration between different system modes. Three examples of how the toolbox can be used to evaluate the control performance of such time-varying systems are given.

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Cervin A, Pazzaglia P, Barzegaran M, Mahfouzi R. Using JitterTime to Analyze Transient Performance in Adaptive and Reconfigurable Control Systems. In Proceedings of 2019 IEEE International Conference on Emerging Technologies and Factory Automation. IEEE. 2019. p. 1025-1032 https://doi.org/10.1109/etfa.2019.8869221