Global sensitivity analysis for the design of nonlinear identification experiments
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DOI: 10.1007/s11071-019-05199-9
Abstract: Bayesian inference techniques have been used extensively in recent years for parameter estimation in nonlinear systems. Despite the many advances made in the field, highly nonlinear systems can still be challenging to identify. Of key… read more here.
Keywords: global sensitivity; sensitivity analysis; sensitivity; identification experiments ... See more keywords