Abstract
We propose a reformulation of the streaming dynamic mode decomposition method that requires maintaining a single orthonormal basis, thereby reducing computational redundancy. The proposed efficient streaming dynamic mode decomposition method results in a constant-factor reduction in computational complexity and memory storage requirements. Numerical experiments on representative canonical dynamical systems show that the enhanced computational efficiency does not compromise the accuracy of the proposed method.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2387-2392 |
| Number of pages | 6 |
| Journal | IEEE Control Systems Letters |
| Volume | 9 |
| DOIs | |
| State | Published - 2025 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Control and Optimization
Keywords
- Dynamic mode decomposition
- Koopman operator
- modal analysis
- nonlinear dynamical systems
- stream processing