3rd International Conference on Systems and Control 2013
DOI: 10.1109/icosc.2013.6750929
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Cauchy problem for Laplace equation: An observer based approach

Abstract: A method to solve Cauchy Problem for Laplace equation using state observers is proposed. It is known that this problem is ill-posed. The domain under consideration is simple lipschitz in ]R2 with a hole. The idea is to recover the solution over whole domain from the observations on outer boundary. Proposed approach adapts one of the space variables as a time variable. The observer developed to solve Cauchy problem for the Laplace's equation is compuationally robust and accurate.

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Cited by 3 publications
(3 citation statements)
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“…Equation ( 54) contains second order derivative in variable y. To discretize this second derivative using second order accurate centered finite difference discretization scheme on Γ B , there needs to be a fictitious point [29] further outside the boundary Γ B as shown in figure 2.…”
Section: A Boundary Condition On γ Bmentioning
confidence: 99%
“…Equation ( 54) contains second order derivative in variable y. To discretize this second derivative using second order accurate centered finite difference discretization scheme on Γ B , there needs to be a fictitious point [29] further outside the boundary Γ B as shown in figure 2.…”
Section: A Boundary Condition On γ Bmentioning
confidence: 99%
“…Second the performance of these techniques for noisy data is not well studied. Another kind of observer based technique to solve Cauchy problem for Laplace equation for only smooth Cauchy data is introduced in [14], where the idea is to use one of the space variables as a time-like variable to reduce numerical computation cost.…”
Section: Introductionmentioning
confidence: 99%
“…This paper is an extension of the observer based technique presented in [14] to non-smooth and noisy data. Cauchy problem for the Laplace equation is presented as a first order system and an optimal mean square error (MSE) minimizer algorithm is developed to solve the problem.…”
Section: Introductionmentioning
confidence: 99%