Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

doi:10.1109/JAS.2020.1003126

CASIA OpenIR > 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
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2020
卷号	7 期号:3 页码:656-667
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.
关键词	Adaptability distributed decision systems imperfect measurements internet of things (IoT) low order model identification
DOI	10.1109/JAS.2020.1003126
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42976
专题	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.

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