Recursive approximation of complex behaviours with IoT-data imperfections
This paper presents an approach to recursively estimate the simplest linear model that approximates the time-varying local behaviors from imperfect (noisy and incomplete) measurements in the internet of things (IoT) based distributed decision-making problems. We first show that the problem of findin...
Автори: | Bekiroglu, Korkut, Srinivasan, Seshadhri, Png, Ethan, Su, Rong, Lagoa, Constantino |
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Інші автори: | School of Electrical and Electronic Engineering |
Формат: | Journal Article |
Мова: | English |
Опубліковано: |
2021
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Предмети: | |
Онлайн доступ: | https://hdl.handle.net/10356/145763 |
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