Data-driven method for dimension reduction of nonlinear randomly vibrating systems
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DOI: 10.1007/s11071-021-06601-1
Abstract: Data-driven identification of nonlinear differential equations turns out to be an inefficient, and sometimes even impossible, for high-dimensional randomly vibrating systems. The mathematical formulism of stochastic averaging, moreover, is restricted by the difficulty of determining… read more here.
Keywords: dimension reduction; vibrating systems; stochastic averaging; randomly vibrating ... See more keywords