نتایج جستجو برای: system model
تعداد نتایج: 3856064 فیلتر نتایج به سال:
We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...
there are two dominant approaches to describe and understand the anatomy of complete health and well-being systems internationally. yet, neither approach has been able to either predict or explain occasional but dramatic crises in health and well-being systems around the world and in developed emerging market or developing country contexts. as the impacts of such events can be measured not simp...
In this work we have used a closed system model to derive an analytical equation for the osmotic pressure of two component electrolyte and non-electrolyte solutions. In order to do so, we have used an equation of state, known as the dense system equation of state (DSEOS), for the model system. Based on the model, a new definition is given for the osmotic pressure of a closed system. Good ag...
abstract: in the paper of black and scholes (1973) a closed form solution for the price of a european option is derived . as extension to the black and scholes model with constant volatility, option pricing model with time varying volatility have been suggested within the frame work of generalized autoregressive conditional heteroskedasticity (garch) . these processes can explain a number of em...
When a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. This paper proposes a method to predict road roughness based on vertical acceleration using neural networks. To this end, first, the suspension system and road roughness are expressed mathematically. Then, the suspension system model will identified using neural networks. The results of this step sho...
A nonlinear model predictive control (NMPC) algorithm based on neural network is designed for boiler- turbine system. The boiler–turbine system presents a challenging control problem owing to its severe nonlinearity over a wide operation range, tight operating constraints on control move and strong coupling among variables. The nonlinear system is identified by MLP neural network and neur...
Introduction: Today, one of the ways to provide healthcare services and achieve the goals of health systems is the participation of nongovernmental organizations (NGOs) in the health sector. The purpose of this study is to develop a model for the partnership of NGOs in Iran’s health system. Methods: This qualitative study was conducted in three consecutive stages, between 2018-2021. In the fir...
since esp received universal attention to smooth the path for academic studies and productions, a great deal of research and studies have been directed towards this area. swales’ (1990) model of ra introduction move analysis has served a pioneering role of guiding many relevant studies and has proven to be productive in terms of helpful guidelines that are the outcome of voluminous productions ...
In this paper, a generalized mathematical model of spread of infectious disease as SIRS epidemic model is considered as a nonlinear system of differential equation. We prove that for positive initial conditions the resulting equivalence system has positive solution and under some hypothesis, this system with initial positive condition, has a positive $T$-periodic solution which is globally asym...
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