scholarly journals Dynamic identification of boundary conditions for convection-diffusion transport model subject to noisy measurements

2019 ◽  
Vol 1368 ◽  
pp. 042029
Author(s):  
A V Tsyganov ◽  
Yu V Tsyganova ◽  
A N Kuvshinova
Author(s):  
Anastasia N. Kuvshinova

The paper addresses the problem of dynamic identification of mixed boundary conditions for one-dimensional convection-diffusion transport model based on noisy measurements of the function of interest. Using finite difference method the original model with the partial differential equation is replaced with the discrete linear dynamic system with noisy multisensor measurements in which boundary conditions are included as unknown input vector. To solve the problem, the algorithm of simultaneous estimation of the state and input vectors is used. The results of numerical experiments are presented which confirm the practical applicability of the proposed method.


2021 ◽  
Vol 1745 (1) ◽  
pp. 012110
Author(s):  
A N Kuvshinova ◽  
A V Tsyganov ◽  
Yu V Tsyganova ◽  
H R Tapia Garza

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Li-Bin Liu ◽  
Ying Liang ◽  
Xiaobing Bao ◽  
Honglin Fang

AbstractA system of singularly perturbed convection-diffusion equations with Robin boundary conditions is considered on the interval $[0,1]$ [ 0 , 1 ] . It is shown that any solution of such a problem can be expressed to a system of first-order singularly perturbed initial value problem, which is discretized by the backward Euler formula on an arbitrary nonuniform mesh. An a posteriori error estimation in maximum norm is derived to design an adaptive grid generation algorithm. Besides, in order to establish the initial values of the original problems, we construct a nonlinear optimization problem, which is solved by the Nelder–Mead simplex method. Numerical results are given to demonstrate the performance of the presented method.


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