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The paper presents a formulation for robust optimization of aerial and marine vehicles design. The general framework is that optimal design under uncertainty, also referred as Robust Design Optimization (RDO). Specifically, statistical decision theory concepts are used to formulate the design decision problem under uncertain operating conditions. The design specifications are given in terms of probability density function of different operating parameters and the optimal design configuration is that which maximizes the performances expectation. Applications to the conceptual design of civil aircraft and ships are shown.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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