Real-time systems

By Hermann Kopetz. 2011

739 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics (2020, neutral): “…of networked technologies and smart devices, IoT can facilitate rapid and constant exchange of realtime data, with the potential for improving functionality and upscaling processes, leading to the generation of new and better products and services (Xia et al. 2012; Kopetz 2011; Gubbi et al. 2013).”
Digital twin, physics-based model, and machine learning applied to damage detection in structures (2020, background): “It should be noticed that the use of a physics-based model ensures physical interpretability (very desired for engineering systems), and machine learning models are very adapted to data, and suited to real time application [10].”
The time-triggered architecture (2003, background): “The TTA solves this problem by the introduction of a sparse time base [37, p. 55 From the point of view of temporal ordering, all events that occur within an interval of activity are considered to happen at the same time.”
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems (2018, methodology): “A simple method to verify a message’s content or intermediate result is plausibility checking or majority voting [26], e.”