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This paper deals with a stochastic approach to model the pull-in voltage in a microelectromechanical system (MEMS) beam structure. Two nonintrusive stochastic techniques are used: a sampling method, based on Monte-Carlo simulations and a polynomial chaos expansion (PCE) approach. The deterministic model solves an electro-mechanical problem using a coupled 2-D finite element (FE) electrostatic and...
In Model Predictive Control, the quality of control is highly dependent upon the model of the system under control. Therefore, a precise deterministic model is desirable. However, in real-world applications, modeling accuracy is typically limited and systems are generally affected by disturbances. Hence, it is important to systematically consider these uncertainties and to model them correctly. In...
The layered mobility model architecture, as introduced earlier, provides a framework for the construction of microscopic mobility models for wireless network simulations. In this paper, we are continuing our study of the architecture and provide the fundamental results necessary for the definition and analysis of theoretic models. This is done for the first time for such rich mobility framework, allowing...
The outbreak of worm is very frequent today. It has great impact on the society infrastructure and people's wealth security. A large number of experts have devoted themselves to the research of worm propagation modeling. Both deterministic model and stochastic model have been used in modeling worm spread. In this paper, we analyze the worm functional structure, and then propose a deterministic worm...
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