Two-step model predictive control is applied, which decomposes the MPC problem into a dynamic optimization problem upon linear model and a static rooting problem of nonlinear algebraic equation.
采用两步法预测控制，即将预测控制问题分解为一基于线性模型的的动态优化问题及一非线性模型的静态求根问题。
This article presents a two-step optimization based on a surrogate model for the aerodynamic shape optimization in a viscous flow.
提出了基于代理模型的两步优化方法，用于翼型在黏性流场中气动外形的优化设计。
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