2015
DOI: 10.1007/s00707-015-1332-4
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Global–local mean square error criterion for equivalent linearization of nonlinear systems under random excitation

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Cited by 6 publications
(2 citation statements)
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“…where • is used as the conventional notation for averaging operator of deterministic functions. Thus the use of the global-local dual technique for LOMSEC leads to a new criterion called global-local mean square error criterion (GLOMSEC) [9,14].…”
Section: Global-local Dual Techniquementioning
confidence: 99%
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“…where • is used as the conventional notation for averaging operator of deterministic functions. Thus the use of the global-local dual technique for LOMSEC leads to a new criterion called global-local mean square error criterion (GLOMSEC) [9,14].…”
Section: Global-local Dual Techniquementioning
confidence: 99%
“…The new development based on the dual approach to LOMSEC was suggested in [9,14] where the authors proposed a global-local mean square error criterion (GLOMSEC) to single-and multi-degree-of-freedom stochastic nonlinear systems, considering local and global levels, and thus new values of linearization coefficients are obtained as global averaged values of all local linearization coefficients. The numerical results for several nonlinear systems under white noise excitation demonstrated a significant improvement in the accuracy of solutions, especially when the nonlinearity is strong.…”
Section: Applications Of Dual Techniquesmentioning
confidence: 99%