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A Stochastic Model for Electrodeposition Process with Simple Boundary Control

机译:具有简单边界控制的电沉积过程的随机模型

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Electrodeposition is a complex partially observed mass-transfer process driven by surface reactions without exact model. In this paper these uncertainties are described by a finite number of Wiener processes in a stochastic model that represents a finite diffusion layer. The model is solved as a mixed boundary problem with the Dirichlet data on one end (bulk solution) and Neumann data on the other end (cathode surface). The concentration of relevant species in the domain interior is controlled by the flux on the boundary (electric current) that can be measured with a limited accuracy. Although the concentration of species on the boundary cannot be observed and must be estimated but for shortening of the paper assumed here to be attainable for observations with certain accuracy (sensor error). The total flux of the main reaction and side reaction is controlled by the current density on the cathode surface. The disturbing effect of the side reactions is modelled as a noise. A relatively effective control is demonstrated in process of simulation with realistic uncertainties for a copper deposition process, but the direct controls use here without filtering create a large variation of mass-flux on the boundary.
机译:电沉积是由无需精确模型的表面反应驱动的复杂部分观察到的质量转移过程。在本文中,这些不确定性由表示有限扩散层的随机模型中的有限数量的维纳过程来描述。该模型作为混合边界问题与另一端(散装溶液)的Dirichlet数据和另一端(阴极表面)上的Neumann数据进行了解决。域内内部的相关物种的浓度由可以以有限的精度测量的边界(电流)上的磁通来控制。尽管不能观察到边界上的物种浓度,但必须估计,但是为了缩短纸张,该纸张认为可以获得具有某些精度(传感器误差)的观察结果。主要反应和副反应的总通量通过阴极表面上的电流密度控制。副反应的令人不安的效果被建模为噪音。在铜沉积过程的实际不确定性的过程中,在模拟过程中证明了一个相对有效的控制,但是在这里使用的直接控制在没有过滤的情况下在边界上产生大的质量通量的大变化。

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