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arXiv 1802.01529math.OCcs.NAmath.DSmath.NA
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Cucker-Smale模型最优一致性控制

Optimal consensus control of the Cucker-Smale model

Imperial College London(帝国理工学院);Université Paris Dauphine(巴黎第九大学)

Rafael Bailo, Mattia Bongini, José A. Carrillo, Dante Kalise

AI总结:

研究基于代理的模型最优一致性控制律的数值实现,通过动态优化问题推导最优性条件,并采用梯度下降法和启发式方法处理非光滑l1范数控制惩罚项,讨论了随着代理数量增加时均场建模方法在一致性控制问题中的近似应用。

摘要:

我们研究基于代理的模型最优一致性控制律的数值实现。对于一种非线性多代理Cucker-Smale型系统,一致性控制被转化为一个动态优化问题,我们推导了其一阶必要最优性条件。在控制能量的平滑惩罚情况下,通过梯度下降法近似最优系统。对于促进稀疏性的非光滑l1范数控制惩罚,通过启发式方法实现最优控制器。对于越来越多的代理,我们通过均场建模方法讨论一致性控制问题的近似。

英文摘要:

We study the numerical realisation of optimal consensus control laws for agent-based models. For a nonlinear multi-agent system of Cucker-Smale type, consensus control is cast as a dynamic optimisation problem for which we derive first-order necessary optimality conditions. In the case of a smooth penalization fo the control energy, the optimality system is numerically approximated via a gradient-descent method. For sparsity promoting, non-smooth $\ell_1$-norm control penalizations, the optimal controllers are realised by means of heuristic methods. For an increasing number of agents, we discuss the approximation of the consensus control problem by following a mean-field modelling approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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