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Adaptive Step Size Control for Hybrid CT Simulation without Rollback

Farkas, Rebeka and Bergmann, Gábor and Horváth, Ákos (2019) Adaptive Step Size Control for Hybrid CT Simulation without Rollback. In: 13th International Modelica Conference (MODELICA 2019), March 4–6, 2019, Regensburg, Germany.

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Abstract

The Hybrid CT approach for simulating cyber-physical systems uses continuous time simulation and provides wrappers for discrete event components that implement the required interfaces. Besides the general obstacles of continuous time simulation, Hybrid CT introduces new challenges, such as creating wrappers, detecting discrete events (with minimal latency), and finding the correct balance between the simulation step sizes required by different components. We propose an adaptive step size controller that uses high level information of the model and the simulation (e.g. types of components, critical values of variables) to adjust the step size based on the possibility of the detection of a discrete event in the following step. Besides overcoming the challenges of Hybrid CT simulation the component also improves threshold-crossing detection. The proposed approach does not require step rejection (rollback), that discrete event components often fail to support. In this paper we present the step size controller, demonstrate its usability on industrial case studies and evaluate the component both theoretically and based on measurements performed on our implementation that was integrated to the OMSimulator. We show that adaptive step size control can be used to bridge the gap between continuous time and discrete event simulation.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
Depositing User: Dr. Gábor Bergmann
Date Deposited: 25 Sep 2020 13:08
Last Modified: 25 Sep 2020 13:08
URI: http://real.mtak.hu/id/eprint/114596

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