scholarly journals The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms

2017 ◽  
Vol 33 (2) ◽  
pp. 346-358 ◽  
Author(s):  
Amanda Prorok ◽  
M. Ani Hsieh ◽  
Vijay Kumar
Keyword(s):  
Optimal Control ◽  
Control Policies ◽  
Robot Swarms ◽  
The Impact

The impact of comprehensive tobacco control policies on cardiovascular diseases in Beijing, China

Addiction ◽  
2021 ◽  
Author(s):  
Yiqun Wu ◽  
Zijing Wang ◽  
Yunting Zheng ◽  
Mengying Wang ◽  
Siyue Wang ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Tobacco Control ◽  
Control Policies ◽  
Tobacco Control Policies ◽  
The Impact ◽  
Beijing China

scholarly journals Bifurcation analysis and optimal control of SEIR epidemic model with saturated treatment function on the network

2021 ◽  
Vol 19 (2) ◽  
pp. 1677-1695
Author(s):  
Boli Xie ◽  
◽  
Maoxing Liu ◽  
Lei Zhang
Keyword(s):  
Optimal Control ◽  
Disease Transmission ◽  
Equilibrium Points ◽  
Virus Transmission ◽  
Population Heterogeneity ◽  
Multiple Equilibrium ◽  
Optimal Control Strategy ◽  
Treatment Function ◽  
The Stability ◽  
The Impact

<abstract><p>In order to study the impact of limited medical resources and population heterogeneity on disease transmission, a SEIR model based on a complex network with saturation processing function is proposed. This paper first proved that a backward bifurcation occurs under certain conditions, which means that $ R_{0} &lt; 1 $ is not enough to eradicate this disease from the population. However, if the direction is positive, we find that within a certain parameter range, there may be multiple equilibrium points near $ R_{0} = 1 $. Secondly, the influence of population heterogeneity on virus transmission is analyzed, and the optimal control theory is used to further study the time-varying control of the disease. Finally, numerical simulations verify the stability of the system and the effectiveness of the optimal control strategy.</p></abstract>

Dynamical analysis of a class of hepatitis C virus infection models with application of optimal control

2016 ◽  
Vol 09 (03) ◽  
pp. 1650038 ◽  
Author(s):  
Aida Mojaver ◽  
Hossein Kheiri
Keyword(s):  
Optimal Control ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Deterministic Model ◽  
Treatment Strategies ◽  
Dynamical Analysis ◽  
Existence And Stability ◽  
Direct Cell ◽  
Infected Cells ◽  
The Impact

In this paper, we deal with the problem of optimal control of a deterministic model of hepatitis C virus (HCV). In the first part of our analysis, a mathematical modeling of HCV dynamics which can be controlled by antiretroviral therapy as fixed controls has been presented and analyzed which incorporates two mechanisms: infection by free virions and the direct cell-to-cell transmission. Basic reproduction number is calculated and the existence and stability of equilibria are investigated. In the second part, the optimal control problem representing drug treatment strategies of the model is explored considering control parameters as time-dependent in order to minimize not only the population of infected cells but also the associated costs. At the end of the paper, the impact of combination of the strategies in the control of HCV and their effectiveness are compared by numerical simulation.

scholarly journals Measurement of Allocative Biases of Production Control Policies

1978 ◽  
Vol 10 (2) ◽  
pp. 87-91 ◽  
Author(s):  
Robert D. Weaver
Keyword(s):  
Land Use ◽  
South Dakota ◽  
Empirical Evidence ◽  
Production Control ◽  
Control Policies ◽  
Empirical Application ◽  
Convenient Means ◽  
The Impact ◽  
North And South

Because of growing stocks of grain and the reinstitution of production controls, the question of what allocative impacts such controls imply is once again relevant. The prospect that restrictions on land use may initiate an intensification in the use of substitute inputs such as fertilizer, which are already high in price, is discouraging. Although the issue is an old one, empirical evidence on the extent of these effects is incomplete.1 The purpose of this article is to derive a convenient means of measuring the allocative effects of changes in input restrictions. As an example of empirical application, results are presented which indicate the impact of acreage restrictions during the marketing quota years in North and South Dakota.

Modelling the Impact of Administrative Access Controls on Technical Access Control Measures

2017 ◽  
Vol 30 (4) ◽  
pp. 53-70
Author(s):  
Winfred Yaokumah
Keyword(s):  
Access Control ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Control Measures ◽  
Control Mechanisms ◽  
Control Policies ◽  
Access Control Policies ◽  
Access Controls ◽  
The Impact

Almost all computing systems and applications in organizations include some form of access control mechanisms. Managing secure access to computing resources is an important but a challenging task, requiring both administrative and technical measures. This study examines the influence of administrative access control measures on technical access control mechanisms. Based on the four access control clauses defined by ISO/IEC27002, this study develops a model to empirically test the impact of access control policies on systems and applications control activities. The study employs Partial Least Square Structural Equation Modelling (PLS-SEM) to analyze data collected from 223 samples through a survey questionnaire. The results show that the greatest significant impact on applications and systems access control measures is through access control policies mediated by users' responsibilities and accountability and user access management activities. But the direct impact of access control policies on applications and systems access control measures is not significant.

scholarly journals Optimal control approaches for combining medicines and mosquito control in tackling dengue

2020 ◽  
Vol 7 (4) ◽  
pp. 181843 ◽  
Author(s):  
Thomas Rawson ◽  
Kym E. Wilkins ◽  
Michael B. Bonsall
Keyword(s):  
Optimal Control ◽  
Disease Control ◽  
Mosquito Control ◽  
Large Population ◽  
Human Movement ◽  
Mitigation Strategies ◽  
Disease Dynamics ◽  
Vector Ecology ◽  
Dengue Disease ◽  
The Impact

Dengue is a debilitating and devastating viral infection spread by mosquito vectors, and over half the world’s population currently live at risk of dengue (and other flavivirus) infections. Here, we use an integrated epidemiological and vector ecology framework to predict optimal approaches for tackling dengue. Our aim is to investigate how vector control and/or vaccination strategies can be best combined and implemented for dengue disease control on small networks, and whether these optimal strategies differ under different circumstances. We show that a combination of vaccination programmes and the release of genetically modified self-limiting mosquitoes (comparable to sterile insect approaches) is always considered the most beneficial strategy for reducing the number of infected individuals, owing to both methods having differing impacts on the underlying disease dynamics. Additionally, depending on the impact of human movement on the disease dynamics, the optimal way to combat the spread of dengue is to focus prevention efforts on large population centres. Using mathematical frameworks, such as optimal control, are essential in developing predictive management and mitigation strategies for dengue disease control.

The impact of high profile restrictions on support for alcohol control policies

2019 ◽  
Vol 38 (4) ◽  
pp. 399-405 ◽  
Author(s):  
Michael Livingston ◽  
Sarah Callinan ◽  
Claire Wilkinson
Keyword(s):  
Control Policies ◽  
High Profile ◽  
Alcohol Control ◽  
The Impact
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