optimal control of stochastic flow using reduced order modeling
主 题: optimal control of stochastic flow using reduced order modeling
报告人: 明炬 (北京计算科学研究中心特聘研究员)
时 间: 2013-10-15 16:00-17:00
地 点: 理科1号楼1303室（主持人：李铁军）
The most challenging problem for dealing with optimal control problem of stochastic flow is the formidable computational complexity. In the lecture, we will explore a low-dimensional approximation to reduce the degrees of freedoms of the control system. Several methods, including POD (proper orthogonal decomposition ), CVT (centroidal Voronoi tessellation), CVOD (CVT-based POD) and PCE (polynomial chaos expansion), are considered and compared to form our reduced-order modeling (ROM). Numerical tests of various situations are performed to validate our conclusion.