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We present quantitative results based on an FIR filter circuit to illustrate the applicability of the proposed approach and to demonstrate that a wide range of useful dependability and performability properties can be analyzed using the proposed methodology.
Using the proposed methodology, a generic damage scenario is identified for the tested material.
The experimental data have been used for the optimization by using the proposed methodology.
Using the proposed methodology, a decentralized robust controller is designed for the identified model.
Using the proposed methodology, an ontology will be developed in the ITS domain.
It was experimentally demonstrated that distortion compensation is achievable using the proposed methodology.
A comparison between the amplitudes of the measured vibration and those predicted using the proposed methodology is presented.
In addition, using the proposed methodology, calibration of codes based on partial safety factors can be done.
Using the benchmark thermal challenge problem as an example, we study several possible model updating formulations using the proposed methodology.
Numerical results are reported, aiming at illustrating the success of using the proposed methodology, as applied to mechanical system design.
This paper has confirmed that reasonable predictions of K0 for natural soil deposits can be made using the proposed methodology.
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