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Fuzzy Logic for Solving an Optimal Control Problem of Hypoxemic Hypoxia Tissue Blood Carbon Dioxide Exchange during Physical Activity

Fuzzy Logic for Solving an Optimal Control Problem of Hypoxemic Hypoxia Tissue Blood Carbon Dioxide Exchange during Physical Activity

作     者:Jean Marie Ntaganda Mahamat Saleh Daoussa Haggar Benjamin Mampassi 

作者机构:Department of Applied Mathematics School of Pure and Applied Sciences College of Science and Technology University of Rwanda Kigali Rwanda N’Djamena University N’Djamena Chad Cheikh Anta Diop University Dakar Senegal 

出 版 物:《Open Journal of Applied Sciences》 (应用科学(英文))

年 卷 期:2014年第4卷第11期

页      面:501-514页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Fuzzy Logic Optimal Control Membership Function Membership Degree Hypoxemic-Hypoxia Pressure Carbon Dioxide Oxygen Numerical Simulation 

摘      要:This paper aims at using of an approach integrating the fuzzy logic strategy for hypoxemic hypoxia tissue blood carbon dioxide human optimal control problem. To test the efficiency of this strategy, the authors propose a numerical comparison with the direct method by taking the values of determinant parameters of cardiovascular-respiratory system for a 30 years old woman in jogging as her regular physical activity. The results are in good agreement with experimental data.

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