Báo cáo viên: Chu Bình Minh
Thời gian: 9h30, Thứ 3, ngày 9/4/2019
Địa điểm: Phòng 302, Nhà A5, Viện Toán học
Tóm tắt: Designing a control system for complex models leads to very large scale problems which require huge computing resources. Model order reduction is a technique to approximate these very large systems by simpler ones of appropriate order but keeping their most important features. In this talk we present some model order reduction for
- Stable symmetric linear state-space systems,
- Unstable linear state-space systems
and the balanced generalized singular perturbation method for unstable linear time invariant continuous systems. | 
