Optimal Multilevel System Design under Uncertainty
نویسنده
چکیده
In this paper we consider hierarchically decomposed multilevel systems, and extend previous deterministic methodologies for optimal and consistent design of such systems to account for the presence of uncertainties. Specifically, we use the probabilistic formulation of the analytical target cascading process to solve the multilevel problem, and use an advanced mean value-based technique to estimate uncertainty propagation. The proposed methodology is demonstrated by means of a simple yet illustrative optimal bi-level system design example.
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