Dynamic Building Load Control to Facilitate High Penetration of Solar Photovoltaic Generation (Final Technical Report)

Kuruganti, Teja; Olama, Mohammed M.; Dong, Jin; Xue, Yaosuo; Winstead, Chris; Nutaro, James; Djouadi, Seddik M.; Bai, Linquan; Augenbroe, Godfried; Hill, Justin

doi:10.2172/1819555

Cited by 3 publications

(3 citation statements)

References 93 publications

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“…, prompt us to mimic what has been already done by [18,54,55], i.e., to close the loop via model-free control in the sense of [56,57]. Among the numerous remarkable concrete applications of this approach let us cite some recent ones in different domains (see, e.g., [58][59][60][61][62]), and, especially here, mask ventilators for COVID-19 patients [63]. Take another output variable z(t) and its corresponding reference trajectory z * (t).…”

Section: Introductionmentioning

confidence: 94%

Toward More Realistic Social Distancing Policies via Advanced Feedback Control

2022

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A continuously time-varying transmission rate is suggested by many control-theoretic investigations on non-pharmaceutical interventions for mitigating the COVID-19 pandemic. However, such a continuously varying rate is impossible to implement in any human society. Here, we significantly extend a preliminary work (M. Fliess, C. Join, A. d’Onofrio, Feedback control of social distancing for COVID-19 via elementary formulae, MATHMOD, Vienna, 2022), based on the combination of flatness-based and model-free controls with respect to the classic parsimonious SIR model. Indeed, to take into account severe uncertainties and perturbations, we propose a feedback control where the transmission rate, i.e., the control variable, is piecewise constant. More precisely, the transmission rate remains constant during an appreciable time interval, which is not too large. Strict extended lockdowns may therefore be avoided. The poor knowledge of fundamental quantities such as the rate of infection hinders a precise calibration of the transmission rate. Thus, the results of our approach ought therefore not to be regarded as rules of action to follow accurately but as a guideline for a wise behaviour.

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Section: Introductionmentioning

confidence: 94%

Toward More Realistic Social Distancing Policies via Advanced Feedback Control

2022

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“…• It has been successfully applied in many concrete applications, like energy management (see, e.g., [11]), car driving (see, e.g., [12]) or electro-active actuators (see, e.g., [13]). • Several illustrations in computer science have already been published: improving resource elasticity in cloud computing [14], service in the Internet of Things [15], and cybersecurity [16].…”

Section: B Applying Model-free Controlmentioning

confidence: 99%

Model-Free Control for Resource Harvesting in Computing Grids

Guilloteau

Robu

Join³

et al. 2022

2022 IEEE Conference on Control Technology and Applications (CCTA)

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Cloud and High-Performance Computing (HPC) systems are increasingly facing issues of dynamic variability, in particular w.r.t. performance and power consumption. They are becoming less predictable, and therefore demand more runtime management by feedback loops. In this work, we describe results addressing autonomic administration in HPC systems through a control theoretical approach. We more specifically consider the need for controllers that can adapt to variations a long timee in the behavior of controlled systems, but also to being reused on different systems and processors. We therefore explore the application of Model-Free Control (MFC) in the context of resource harvesting in a Computing Grid, by regulating the injection of flexible jobs while limiting perturbation of the prioritary applications.

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“…Among the numerous remarkable concrete applications of this approach let us cite two recent ones in different domains (see, e . g ., [Kuruganti et al(2021)], [Lv et al(2022)], [Sancak et al(2021)], [Wang et al(2021)]), and, especially here, mask ventilators for COVID-19 patients [Truong et al .(2021)]. Take another output variable z ( t ) and its corresponding reference trajectory z * ( t ).…”

Section: Introductionmentioning

confidence: 99%

Toward more realistic social distancing policies via advanced feedback control

Join

d’Onofrio

Fliesś

2022

Preprint

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A continuously time-varying transmission rate is suggested by many control-theoretic investigations on non-pharmaceutical interventions for mitigating the COVID-19 pandemic. However, such a continuously varying rate is impossible to implement in any human society. Here, we significantly extend a preliminary work (M. Fliess, C. Join, A. d’Onofrio, Feedback control of social distancing for COVID-19 via elementary formulae, MATHMOD, Vienna, 2022), based on the combination of flatness-based and model-free controls of the classic SIR model. Indeed, to take into account severe uncertainties and perturbations, we propose a feedback control where the transmission rate,i.e., the control variable, is piecewise constant. More precisely, the transmission rate remains constant during an appreciable time interval. Strict extended lockdowns may therefore be avoided. The poor knowledge of fundamental quantities such as the rate of infection hinders a precise calibration of the transmission rate. Thus, the results of our approach ought therefore not to be regarded as rules of action to follow accurately but as a guideline for a wise behavior.

show abstract

Dynamic Building Load Control to Facilitate High Penetration of Solar Photovoltaic Generation (Final Technical Report)

Cited by 3 publications

References 93 publications

Toward More Realistic Social Distancing Policies via Advanced Feedback Control

Toward More Realistic Social Distancing Policies via Advanced Feedback Control

Model-Free Control for Resource Harvesting in Computing Grids

Toward more realistic social distancing policies via advanced feedback control

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