A data-driven method identifies the initial gap in piecewise-linear systems from data by discovering governing equations via sparse regression and calculating the gap from coefficients of multiple piecewise-linear approximations using the universal approximation theorem, with successful numerical, 2
max{0,๐ฅโ๐ฟ}, (1) where m and c are mass and damping coefficients, ๐! and ๐
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Data-driven Initial Gap Identification of Piecewise-linear Systems using Sparse Regression and Universal Approximation Theorem
A data-driven method identifies the initial gap in piecewise-linear systems from data by discovering governing equations via sparse regression and calculating the gap from coefficients of multiple piecewise-linear approximations using the universal approximation theorem, with successful numerical, 2