Abstract
Minimizing the scaled Hilbert-Schmidt norm of an operator valued sampled-data transfer function is considered. It is demonstrated that the optimization reduces exactly to minimizing the scaled Frobenius norm of a particular matrix.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3553-3554 |
| Number of pages | 2 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 4 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4) - Lake Buena Vista, FL, USA Duration: Dec 14 1994 → Dec 16 1994 |
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