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arXiv 2501.02183math.NAcs.NA
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基于算子推断的端口哈密顿系统数据驱动降阶模型

Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference

Yuwei Geng, Lili Ju, Boris Kramer, Zhu Wang

AI总结:

本文将哈密顿算子推断扩展到含耗散和输入输出的端口哈密顿系统,利用状态与输出快照通过优化推断降阶算子,并结合离散经验插值超降阶方法构造保结构的数据驱动 ROM,给出误差估计并通过数值实验验证精度。

摘要:

哈密顿算子推断已在 [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] 中提出,用于学习哈密顿系统的保结构降阶模型(ROMs)。该方法仅利用数据以及哈密顿量函数形式的知识来构造低维模型。所得 ROMs 保持系统的内在结构,确保系统的力学和物理性质得以维持。在本工作中,我们将该方法扩展到端口哈密顿系统,这类系统通过引入能量耗散、外部输入和输出而对哈密顿系统进行了推广。基于系统状态和输出的快照,结合哈密顿量函数形式的信息,通过优化推断降阶算子,并利用这些算子构造数据驱动的 ROMs。为了进一步降低 ROMs 中非线性项求值的复杂度,应用了基于离散经验插值的超降阶方法。据此,我们推导了 ROM 对状态和输出近似的误差估计。最后,我们通过线性质量-弹簧-阻尼问题和非线性 Toda 晶格问题的数值实验,验证了所提出的端口哈密顿算子推断框架的结构保持性和精度。

英文摘要:

Hamiltonian operator inference has been developed in [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] to learn structure-preserving reduced-order models (ROMs) for Hamiltonian systems. The method constructs a low-dimensional model using only data and knowledge of the functional form of the Hamiltonian. The resulting ROMs preserve the intrinsic structure of the system, ensuring that the mechanical and physical properties of the system are maintained. In this work, we extend this approach to port-Hamiltonian systems, which generalize Hamiltonian systems by including energy dissipation, external input, and output. Based on snapshots of the system's state and output, together with the information about the functional form of the Hamiltonian, reduced operators are inferred through optimization and are then used to construct data-driven ROMs. To further alleviate the complexity of evaluating nonlinear terms in the ROMs, a hyper-reduction method via discrete empirical interpolation is applied. Accordingly, we derive error estimates for the ROM approximations of the state and output. Finally, we demonstrate the structure preservation, as well as the accuracy of the proposed port-Hamiltonian operator inference framework, through numerical experiments on a linear mass-spring-damper problem and a nonlinear Toda lattice problem.

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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