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A New Computational Approach for Solving Optimal Control of Linear PDEs Problem

A New Computational Approach for Solving Optimal Control of Linear PDEs Problem
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摘要 In this paper, we present a new computational approach for solving an internal optimal control problem, which is governed by a linear parabolic partial differential equation. Our approach is to approximate the PDE problem by a nonhomogeneous ordinary differential equation system in higher dimension. Then, the homogeneous part of ODES is solved using semigroup theory. In the next step, the convergence of this approach is verified by means of Toeplitz matrix. In the rest of the paper, the optimal control problem is solved by utilizing the solution of homogeneous part. Finally, a numerical example is given. In this paper, we present a new computational approach for solving an internal optimal control problem, which is governed by a linear parabolic partial differential equation. Our approach is to approximate the PDE problem by a nonhomogeneous ordinary differential equation system in higher dimension. Then, the homogeneous part of ODES is solved using semigroup theory. In the next step, the convergence of this approach is verified by means of Toeplitz matrix. In the rest of the paper, the optimal control problem is solved by utilizing the solution of homogeneous part. Finally, a numerical example is given.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2014年第3期735-748,共14页 应用数学学报(英文版)
关键词 optimal control parabolic partial differential equation semigroups theory nonlinear programming Toeplitz matrix optimal control parabolic partial differential equation semigroups theory, nonlinear programming Toeplitz matrix
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