scholarly journals Behavior Choice of Game Parties under the Interference of Cognition in the Game between Coal Miners and Supervisors

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jun Liu ◽  
Chen Wang ◽  
Xinhua Wang ◽  
Qingli Li

In the game between coal miners and supervisors, the behavior choices of the game parties will be affected by cognitive factors. The analysis of the behavior choices of coal miners and supervisors under the influence of cognitive factors is helpful for the design of violation behavior control strategies. Firstly, a description method of subjective cognition based on the mathematical method of quantum theory is designed. Secondly, taking the subjective cognition of coal miners and supervisors as a random variable, a behavior evolution model with random variables is constructed. Thirdly, the impact of subjective cognition on the behavior choices of coal miners and supervisors is analyzed. Finally, the violation behavior control strategy is designed. It is found that when the violation probability decreases to a certain extent, the probability of supervision will change from the increase to decrease. When the probability of supervision decreases to a certain extent, the violation probability will change from the decrease to increase. Fluctuations in cognitive state can affect the change process of violation probability and supervision probability. The behavior control strategy designed according to the behavior evolution model can control the violation behavior in the situation of cognitive state fluctuation.

Author(s):  
Atokolo William ◽  
Akpa Johnson ◽  
Daniel Musa Alih ◽  
Olayemi Kehinde Samuel ◽  
C. E. Mbah Godwin

This work is aimed at formulating a mathematical model for the control of zika virus infection using Sterile Insect Technology (SIT). The model is extended to incorporate optimal control strategy by introducing three control measures. The optimal control is aimed at minimizing the number of Exposed human, Infected human and the total number of Mosquitoes in a population and as such reducing contacts between mosquitoes and human, human to human and above all, eliminates the population of Mosquitoes. The Pontryagin’s maximum principle was used to obtain the necessary conditions, find the optimality system of our model and to obtain solution to the control problem. Numerical simulations result shows that; reduction in the number of Exposed human population, Infected human population and reduction in the entire population of Mosquito population is best achieved using the optimal control strategy.


2013 ◽  
Vol 372 ◽  
pp. 538-542
Author(s):  
Guo Zhong Jia ◽  
Xin Ping Wu ◽  
Zhen Hua Jia

According to the special structure of DCT, the control strategy of launch with two clutches has been proposed to share the friction work and extend the life of both clutches. The dynamic model of launch with two clutches and the clutch control model have been built. the control strategies of both clutches have been proposed respectively according to the requirement of the different driver intention and the limitation of the impact of vehicle. The simulation model of launch with two clutches has been built using the Matlab/Simulink platform, and the simulation has been carried out. The Simulation results show that the balance of friction work based on this launch strategy with two clutches has been validated.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Alessio Andronico ◽  
Cécile Tran Kiem ◽  
Juliette Paireau ◽  
Tiphanie Succo ◽  
Paolo Bosetti ◽  
...  

AbstractWhile general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June–July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty.


2021 ◽  
Author(s):  
Edmund Wong

Low primary temperature drop across district heating substations is an undesirable phenomenon observed in the district heating industry. Professionals in the industry have argued that this is caused by inappropriate sizing and controls of district heating substations. The thesis aims to investigate the impact of design and operation parameters on the performance of district heating substations, so that building designers and engineers can potentially better design and operate new and existing district heating substations. The thesis shows that, by developing and using a physical model as a computational tool for sensitivity analysis, different design and operation parameters can be evaluated. This generates insights for energy conserving control strategies to be developed. A preliminary control strategy was proposed for district heating substations, and simulation results show energy saving potentials.


2020 ◽  
Vol 137 (8) ◽  
pp. 394-399
Author(s):  
Stefan Polster ◽  
Herwig Renner ◽  
Katrin Friedl ◽  
Olof Samuelsson

AbstractThis paper proposes an advanced emergency control strategy for embedded VSC-HVDC links after AC disturbances, such as line tripping and generation loss. The control goals are to minimize the impact of the disturbance on the AC-network, which includes improving the long-term voltage stability with utilizing possible unloading capacity of parallel AC elements. The proposed algorithm is evaluated against other control strategies for embedded VSC-HVDC links by applying it to a simple demonstration network. The test system includes all necessary VSC converter dynamics, the VSC-HVDC link current and voltage limits and simple load recovery characteristics for an evaluation of the long term voltage stability. The simulation results are explained and the advantages of the proposed emergency control strategy are discussed.


2018 ◽  
Vol 8 (8) ◽  
pp. 1382 ◽  
Author(s):  
Albana Ilo ◽  
Daniel-Leon Schultis ◽  
Christian Schirmer

This paper introduces a novel local Volt/var control strategy in a low-voltage smart grid. Nowadays, various Volt/var local control strategies built on customer photovoltaic inverters, e.g., cosφ(P) and Q(U), are introduced to mitigate the upper voltage limit violations in feeders with high prosumer share. Nevertheless, although these strategies are further refined by including more local variables, their use is still very limited. In this study, the effects of a new concentrated Volt/var local control strategy in low-voltage grids are investigated. Concentrated var-sinks, e.g., coils-L(U), are set at the end of each violated feeder. The concentrated local control strategy L(U) is compared with the distributed cosφ(P) and Q(U) strategies. Initially, both control strategies are theoretically investigated, followed by simulations in a test feeder. Finally, the expected practical significance of the findings is verified through simulations in a real typical urban and rural grid. Additionally, the impact of the different local control strategies used in low-voltage grids on the behavior of the medium-voltage grid is analyzed. The results show that the concentrated Volt/var control strategy eliminates the violation of upper voltage limit even in longer feeders, where both distributed local strategies fail. In addition, the concentrated L(U) local control causes less reactive power exchange on the distribution transformer level than the distributed cosφ(P) and Q(U) strategies. Therefore, the reactive power exchange with the medium-voltage grid and thus the distribution transformer loading are smaller in the case of concentrated local control strategy.


2021 ◽  
Author(s):  
Edmund Wong

Low primary temperature drop across district heating substations is an undesirable phenomenon observed in the district heating industry. Professionals in the industry have argued that this is caused by inappropriate sizing and controls of district heating substations. The thesis aims to investigate the impact of design and operation parameters on the performance of district heating substations, so that building designers and engineers can potentially better design and operate new and existing district heating substations. The thesis shows that, by developing and using a physical model as a computational tool for sensitivity analysis, different design and operation parameters can be evaluated. This generates insights for energy conserving control strategies to be developed. A preliminary control strategy was proposed for district heating substations, and simulation results show energy saving potentials.


2020 ◽  
Author(s):  
Alessio Andronico ◽  
Cécile Tran Kiem ◽  
Juliette Paireau ◽  
Tiphanie Succo ◽  
Paolo Bosetti ◽  
...  

AbstractWhile general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June-July 2020 in French Guiana that relied on curfews, targeted lockdowns and other measures. We find that the combination of these interventions reduced the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid saturation of hospitals. We estimate that thanks to the young demographics across the territory, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modeling can be used to support healthcare planning and decision making in a context of high uncertainty.


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