Moreau-Yosida regularization to optimal control of the monodomain model with pointwise control and state constraints in cardiac electrophysiology

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-03-15 Epub Date: 2024-10-09 DOI:10.1016/j.cam.2024.116306
Maria Robert , Suresh Kumar Nadupuri , Nagaiah Chamakuri
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Abstract

In this work, we study the optimal control problem of a coupled reaction-diffusion system, which is a monodomain model in cardiac electrophysiology with pointwise bilateral control and state constraints. We adopt the Moreau-Yosida regularization as a penalization technique to deal with the state constraints. The regularized problem’s first-order optimality condition is derived. In addition, sufficient second-order optimality condition is derived for the regularized problem using the virtual control concept by proving equivalence between Moreau-Yosida regularization and the virtual control concept. The convergence of optimal controls of the regularized problems to the optimal control of the original problem is proved. Moreover, the semi-smooth Newton method for numerically finding the optimal solution to the regularization problem is presented. Finally, numerical experiments are conducted, and the results allow us to understand the extinction of the wave excitation in cardiac defibrillation in the presence of both control and state constraints.
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莫罗-尤西达正则化对心脏电生理学中带有点控和状态约束的单域模型的优化控制
在这项工作中,我们研究了耦合反应-扩散系统的最优控制问题,该系统是心脏电生理学中的单域模型,具有点式双边控制和状态约束。我们采用 Moreau-Yosida 正则化作为处理状态约束的惩罚技术。得出了正则化问题的一阶最优条件。此外,通过证明 Moreau-Yosida 正则化与虚拟控制概念之间的等价性,利用虚拟控制概念为正则化问题导出了充分的二阶最优性条件。证明了正则化问题的最优控制收敛于原始问题的最优控制。此外,还提出了半光滑牛顿方法,用于数值求得正则化问题的最优解。最后,进行了数值实验,实验结果让我们了解了在控制和状态约束的情况下,心脏除颤中波激励的熄灭情况。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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