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The controller design methodology is validated by simulating a two-area power benchmark power system.
The feasibility of the proposed design methodology is validated by finite element analysis (FEA) and experimental tests using an Amino ISF machine.
Optimization routines have been developed and the design methodology is validated by comparison with several existing skin-stringer panels from four jet aircrafts and showed a good agreement.
The trajectory design methodology is validated in both simulation and experimental environments, and successful robot behavior confirms the effectiveness of the strategy.
The advocated design methodology is validated on interesting classes of biological problems, for which the classical modelization via ODE is quite problematic, if not impossible, while a stochastic model can be more proficuous.
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Also, the core loss calculation of the transformer designed using the proposed methodology is validated by 3D-FEM assessment and experimental prototype setup for a 200kVA transformer.
Instead, the proposed methodology is validated by comparing it to in-service designs currently servicing sustainable energy projects.
The proposed estimation methodology is validated experimentally.
This methodology is validated in three different vehicle assembly plants.
The developed methodology is validated with the fresh experimental results.
The methodology is validated with ring oscillator measurements.
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