Paper accepted for publication in Journal of Computational and Nonlinear Dynamics
A paper has been accepted and published online in Journal of Computational and Nonlinear Dynamics. The paper is based on a Master’s thesis work by Ryosuke Kanki.
Ryosuke Kanki and Akira Saito, “Data-driven Initial Gap Identification of Piecewise-linear Systems using Sparse Regression and Universal Approximation Theorem”, doi:10.1115/1.4065440, Journal of Computational and Nonlinear Dynamics, 2024. [link]
