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Zhilu Lai

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

146

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Model-Based Imitation Learning from Observation for Input Estimation in Monitored Systems

Number of pages: 17 Posted: 08 Jul 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Singapore-ETH Centre and ETH Zürich
Downloads 70 (875,328)

Abstract:

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Input estimation, imitation learning, partially observable Markov decision process, system invertibility, reinforcement learning, dynamics modeling

2.

Solve-SVI: Solver-embedded Stochastic Variational Inference for State Estimation, Learning Governing Equations, and Prediction of Forced Dynamical Systems

Number of pages: 27 Posted: 03 Feb 2026
Xuling ZHANG, Qiyang LIN, Ying Lei and Zhilu Lai
affiliation not provided to SSRN, affiliation not provided to SSRN, Xiamen University and affiliation not provided to SSRN
Downloads 42 (1,157,785)

Abstract:

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Stochastic Variational Inference, Stochastic Differential Equations, Uncertainty Quantification, Forced Dynamical Systems

3.

Floating Structures as Wave Buoys: Wave Elevation Estimation from Dynamic Responses of Floating Structures

Number of pages: 23 Posted: 28 Apr 2026
affiliation not provided to SSRN, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Hong Kong Polytechnic University and affiliation not provided to SSRN
Downloads 28 (1,359,097)

Abstract:

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4.

Towards Minimum-sensor Digital Twin: Modal Expansion-informed Neural Networks for Reconstructing Full-Field Dynamic Respnses from Sparse Measurements

Number of pages: 43 Posted: 05 Jun 2026
Yan ZENG, Jian-An LI, Guobiao Hu and Zhilu Lai
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 6

Abstract:

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modal expansion, virtual sensing, physics-informed neural networks, surrogate models, RetNet, digital twin.