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 |
| 摘 要 |
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.
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