17 citations · 19 across the 2 of their papers we have counts for
2 papers
physics.app-ph2026★ 2 cited
Data-driven Initial Gap Identification of Piecewise-linear Systems using Sparse Regression and Universal Approximation Theorem
Ryosuke Kanki, Akira Saito
This paper proposes a method for identifying an initial gap in piecewise-linear systems from data. Piecewise-linear systems appear in many engineered systems such as degraded mecha…
math.DS2026★ 17 cited
Data-driven model order reduction for structures with piecewise linear nonlinearity using dynamic mode decomposition
Akira Saito, Masato Tanaka
Piecewise-linear nonlinear systems appear in many engineering disciplines. Prediction of the dynamic behavior of such systems is of great importance from practical and theoretical…