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首页> 外文期刊>Mathematical Problems in Engineering >Solving Optimal Control Problem of Monodomain Model Using Hybrid Conjugate Gradient Methods
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Solving Optimal Control Problem of Monodomain Model Using Hybrid Conjugate Gradient Methods

机译:混合共轭梯度法求解单域模型最优控制问题

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摘要

We present the numerical solutions for the PDE-constrained optimization problem arising in cardiac electrophysiology, that is, the optimal control problem of monodomain model. The optimal control problem of monodomain model is a nonlinear optimization problem that is constrained by the monodomain model. The monodomain model consists of a parabolic partial differential equation coupled to a system of nonlinear ordinary differential equations, which has been widely used for simulating cardiac electrical activity. Our control objective is to dampen the excitation wavefront using optimal applied extracellular current. Two hybrid conjugate gradient methods are employed for computing the optimal applied extracellular current, namely, the Hestenes-Stiefel-Dai-Yuan (HS-DY) method and the Liu-Storey-Conjugate-Descent (LS-CD) method. Our experiment results show that the excitation wavefronts are successfully dampened out when these methods are used. Our experiment results also show that the hybrid conjugate gradient methods are superior to the classical conjugate gradient methods when Armijo line search is used.
机译:我们提出了在心脏电生理学中出现的PDE约束优化问题的数值解,即单域模型的最优控制问题。单域模型的最优控制问题是受单域模型约束的非线性优化问题。单域模型由抛物线偏微分方程和非线性常微分方程组组成,非线性常微分方程组已被广泛用于模拟心脏电活动。我们的控制目标是使用最佳施加的细胞外电流来衰减激发波前。两种混合共轭梯度方法用于计算最佳施加的细胞外电流,即Hestenes-Stiefel-Dai-Yuan(HS-DY)方法和Liu-Storey-Conjugate-Descent(LS-CD)方法。我们的实验结果表明,使用这些方法成功地消除了激励波阵面。我们的实验结果还表明,当使用Armijo线搜索时,混合共轭梯度方法优于经典共轭梯度方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第12期|734070.1-734070.14|共14页
  • 作者

    Kin Wei Ng; Ahmad Rohanin;

  • 作者单位

    Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Malaysia;

    Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Malaysia;

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