Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

doi:10.1109/JAS.2020.1003126

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Recursive Approximation of Complex Behaviours With IoT-Data Imperfections
	Korkut Bekiroglu; Seshadhri Srinivasan; Ethan Png; Rong Su; Constantino Lagoa
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:3 页码:656-667
关键词	Adaptability distributed decision systems imperfect measurements internet of things (IoT) low order model identification
ISSN号	2329-9266
DOI	10.1109/JAS.2020.1003126
英文摘要	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 finding the lowest order model for a multi-input single-output system is a cardinality (ℓ₀) optimization problem, known to be NP-hard. To solve the problem a simpler approach is proposed which uses the recently developed atomic norm concept and the modified Frank-Wolfe (mFW) algorithm is introduced. Further, the paper computes the minimum data-rate required for computing the models with imperfect measurements. The proposed approach is illustrated on a building heating, ventilation, and air-conditioning (HVAC) control system that aims at optimizing energy consumption in commercial buildings using IoT devices in a distributed manner. The HVAC control application requires recursive thermal dynamical model updates due to frequently changing conditions and non-linear dynamics. We show that the method proposed in this paper can approximate such complex dynamics on single-board computers interfaced to sensors using unreliable communication channels. Real-time experiments on HVAC systems and simulation studies are used to illustrate the proposed method.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42976]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Korkut Bekiroglu,Seshadhri Srinivasan,Ethan Png,et al. Recursive Approximation of Complex Behaviours With IoT-Data Imperfections[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(3):656-667.
APA	Korkut Bekiroglu,Seshadhri Srinivasan,Ethan Png,Rong Su,&Constantino Lagoa.(2020).Recursive Approximation of Complex Behaviours With IoT-Data Imperfections.IEEE/CAA Journal of Automatica Sinica,7(3),656-667.
MLA	Korkut Bekiroglu,et al."Recursive Approximation of Complex Behaviours With IoT-Data Imperfections".IEEE/CAA Journal of Automatica Sinica 7.3(2020):656-667.