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Numerical simulations for single and multiple damper cases are given to show the effectiveness and efficiency of the proposed intelligent control strategy.
A mass-spring-damper case study subject to measurement loss is provided to demonstrate some of the promising results of our proposed algorithm.
Herein, the focus is on the (more realistic) damped case.
Finally, the parallel implementation is validated by a micro-cantilever damping case.
The approximation for the white noise damping case is compared with the exact solution obtained by the moment method.
The presented idea can also be extended and applied to the general structure with non-proportional damping case.
Each index has been normalized so that it assumes values between zero (proportional damping case) and one.
The method extends to the nonlinear damping case the impedance-matching condition which is used to guarantee a maximum power transfer in linear network theory.
Our method predicts spectral energies well at high frequencies unlike the existing methods that are limited to low frequencies and/or lightly damped case.
Georgiev and Todorova [10] extended Levine's result to the nonlinear damping case.
By choosing α = 0, the conditions of Theorem 4.1 turn to (5.2) (small damping case).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com