Optimal Control for Suppression of Singularity in Chemotaxis via Flow Advection

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Weiwei Hu, Ming-Jun Lai, Jinsil Lee
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引用次数: 0

Abstract

This work focuses on the optimal control design for suppressing the singularity formation in chemotaxis governed by the parabolic-elliptic Patlak–Keller–Segel (PKS) system via flow advection. The main idea of this work lies in utilizing flow advection for enhancing diffusion as to control the nonlinear behavior of the system. The objective is to determine an optimal strategy for adjusting flow strength so that the possible finite time blow-up of the solution can be suppressed. Rigorous proof of the existence of an optimal solution and derivation of first-order optimality conditions for solving such a solution are presented. Spline collocation methods are employed for solving the optimality conditions. Numerical experiments based on 2D cellular flows in a rectangular domain are conducted to demonstrate our ideas and designs.

Abstract Image

通过流动平流抑制趋化奇点的优化控制
这项研究的重点是通过流平流抑制抛物线-椭圆形帕特拉克-凯勒-西格尔(PKS)系统所支配的趋化作用中奇点形成的最优控制设计。这项工作的主要思路在于利用流动平流来加强扩散,从而控制该系统的非线性行为。其目的是确定调整流动强度的最佳策略,从而抑制解的有限时间爆炸。本文严格证明了最优解的存在,并推导出了求解该最优解的一阶最优条件。最优条件的求解采用了样条插值法。基于矩形域中的二维蜂窝流进行了数值实验,以证明我们的想法和设计。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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