Review of building energy modeling for control and operation

X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the
US Better or even optimal building energy control and operation strategies provide great …

[HTML][HTML] The social effects of exergames on older adults: systematic review and metric analysis

J Li, M Erdt, L Chen, Y Cao, SQ Lee… - Journal of medical Internet …, 2018 - jmir.org
Background Recently, many studies have been conducted to investigate the effects of
exergames on the social well-being of older adults. Objective The aim of this paper is to …

Linear system identification in a nonlinear setting: Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation

J Schoukens, M Vaes, R Pintelon - IEEE Control Systems …, 2016 - ieeexplore.ieee.org
Linear system identification [1]-[4] is a basic step in modern control design approaches.
Starting from experimental data, a linear dynamic time-invariant model is identified to …

[HTML][HTML] Tutorial for using control systems engineering to optimize adaptive mobile health interventions

EB Hekler, DE Rivera, CA Martin, SS Phatak… - Journal of medical …, 2018 - jmir.org
Background Adaptive behavioral interventions are individualized interventions that vary
support based on a person's evolving needs. Digital technologies enable these adaptive …

Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification

X Li, J Wen, EW Bai - Applied Energy, 2016 - Elsevier
Optimal automatic operation of buildings and their subsystems in responding to signals from
a smart grid is essential to reduce energy demand, and to improve the power resilience. In …

Building energy consumption on-line forecasting using physics based system identification

X Li, J Wen - Energy and buildings, 2014 - Elsevier
Abstract Model based control has become a promising solution for building operation
optimization and energy saving. Accuracy and computationally efficiency are two of the most …

Nonparametric data-driven modeling of linear systems: Estimating the frequency response and impulse response function

J Schoukens, K Godfrey… - IEEE Control Systems …, 2018 - ieeexplore.ieee.org
The aim of this article is to give a tutorial overview of frequency response function (FRF) or
impulse response (IR) function measurements of linear dynamic systems. These …

A closed-loop artificial pancreas based on model predictive control: Human-friendly identification and automatic meal disturbance rejection

H Lee, BW Bequette - Biomedical Signal Processing and Control, 2009 - Elsevier
Type 1 diabetes is characterized by a lack of insulin production by the pancreas, causing
high blood glucose concentrations and requiring external insulin infusion to regulate blood …

System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity

MT Freigoun, CA Martín, AB Magann… - 2017 American …, 2017 - ieeexplore.ieee.org
There is significant evidence to show that physical activity reduces the risk of many chronic
diseases. With the rise of mobile health (mHealth) technologies, one promising approach is …

Data-driven nonlinear identification of Li-ion battery based on a frequency domain nonparametric analysis

R Relan, Y Firouz, JM Timmermans… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Lithium ion batteries are attracting significant and growing interest, because their high
energy and high power density render them an excellent option for energy storage …