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Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems

Published: 14 December 2021 Publication History

Abstract

Recently, there have been efforts towards understanding the sampling behaviour of event-triggered control (ETC), for obtaining metrics on its sampling performance and predicting its sampling patterns. Finite-state abstractions, capturing the sampling behaviour of ETC systems, have proven promising in this respect. So far, such abstractions have been constructed for non-stochastic systems. Here, inspired by this framework, we abstract the sampling behaviour of stochastic narrow-sense linear periodic ETC (PETC) systems via Interval Markov Chains (IMCs). Particularly, we define functions over sequences of state-measurements and interevent times that can be expressed as discounted cumulative sums of rewards, and compute bounds on their expected values by constructing appropriate IMCs and equipping them with suitable rewards. Finally, we argue that our results are extendable to more general forms of functions, thus providing a generic framework to define and study various ETC sampling indicators.

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Cited By

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  • (2024)Abstraction-based Synthesis of Stochastic Hybrid SystemsProceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3641513.3651399(1-11)Online publication date: 14-May-2024
  • (2022)ETCetera: beyond Event-Triggered ControlProceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3501710.3519523(1-11)Online publication date: 4-May-2022

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    2021 60th IEEE Conference on Decision and Control (CDC)
    Dec 2021
    6130 pages

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    Published: 14 December 2021

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    • (2024)Abstraction-based Synthesis of Stochastic Hybrid SystemsProceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3641513.3651399(1-11)Online publication date: 14-May-2024
    • (2022)ETCetera: beyond Event-Triggered ControlProceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control10.1145/3501710.3519523(1-11)Online publication date: 4-May-2022

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