Comparison of the sensitivity of two Intelligent Optimization Methods to the uncertainty of the LVAD system parameters in artificial heart
نوشته شده توسط : زپو

 Comparison of the sensitivity of two Intelligent Optimization Methods to the uncertainty of the LVAD system parameters in artificial heart


Abstract

Artificial is usually used by heart failure patients with left ventricular failure. Than those where the disease is left ventricular failure, the most common heart disease in recent years is the other auxiliary equipment for the human heart than considered and used. In this paper, for the first time, the uncertainty of the parameters of the system is considered and the range of stabilized parameter uncertainty which return control feedback to the stabilization of the system is calculated. The sensitivity of optimization algorithms to the uncertainties of system parameters are compared and evaluated. The cost function used was based on the model and control method of sampling the pump and the combined statements of speed fluctuation and output functions of the initial cost is presented. In simulation, the effect of controlling these two methods and Akfa sensitivity to parameter changes is compared.


خرید و دانلود  Comparison of the sensitivity of two Intelligent Optimization Methods to the uncertainty of the LVAD system parameters in artificial heart






:: برچسب‌ها: current sampling , genetic algorithm , optimization , particle swarm , sensitivity , مقاله ,
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تاریخ انتشار : چهار شنبه 3 مرداد 1395 | نظرات ()
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