Parameter Identification of Nonlinear Systems Using Perturbation Methods and Higher-Order Statistics
A parametric identification procedure is proposed that combines the method of multiple scales and higher-order statistics to efficiently and accurately model nonlinear systems. A theoretical background for the method of multiple scales and higher-order statistics is given. Validation of the...
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Virginia Tech
2014
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Online Access: | http://hdl.handle.net/10919/36921 http://scholar.lib.vt.edu/theses/available/etd-72098-173139/ |