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Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++
2019
Big Data and Cognitive Computing
In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity. The aim of this study is to guarantee the validity of the sampled-time filter and time domain as fundamental elements of autonomous edge software. This requires the update law of a sampled-time filter to be invoked once per every control cycle, which we guaranteed by using the
doi:10.3390/bdcc3040052
fatcat:qez2ierqkng2zlxx6m6gkv33ja