Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

A computational method for topology optimization in the presence of uncertainty is
proposed. The method combines the spectral stochastic approach for the representation and …

Multi-fidelity (MF) surrogate models have attracted significant attention recently in
engineering design optimization since they can make a trade-off between high prediction …

变可信度近似模型通过融合不同精度分析模型的数据, 可有效平衡近似模型预测性能和建模成本
之间的矛盾, 在复杂装备优化设计中受到广泛的关注. 综述变可信度近似模型及其在复杂装备 …

One purpose of the" Historical Perspectives" column is to look back at work done by
pioneers in control and related fields that has been neglected for many years but was later …

Polynomial chaos expansion and Gaussian mixture models are combined in a hybrid
fashion to propagate state uncertainty for spacecraft with initial Gaussian errors. Polynomial …

The ever-increasing demands for risk-free, resource-efficient and environment-friendly air
vehicles motivate the development of advanced design methodology. As a particularly …

The stochastic variation of inlet flow is one common uncertainty in turbomachines, the
performance impact of which requires to be quantified and taken into account in the design …

The development of algorithms for aircraft robust dynamic optimization considering
uncertainties (for example, trajectory optimization) is relatively limited compared to aircraft …

To improve the vibration isolation performance of suspensions, various new structural forms
of suspensions have been proposed. However, there is uncertainty in these new structure …