Abstract
We consider model reduction of uncertain behavioural models. Machinery for gap-metric model reduction and multidimensional model reduction using Linear Matrix Inequalities is extended to these behavioural models. The goal is a systematic method for reducing the complexity of uncertain components in hierarchically developed models which approximates the behavior of the full-order system. This paper focuses on component model reduction that preserves stability under interconnection.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Publisher | Publ by IEEE |
| Pages | 3652-3657 |
| Number of pages | 6 |
| Volume | 4 |
| ISBN (Print) | 0780312988 |
| State | Published - 1993 |
| Externally published | Yes |
| Event | Proceedings of the 32nd IEEE Conference on Decision and Control. Part 2 (of 4) - San Antonio, TX, USA Duration: Dec 15 1993 → Dec 17 1993 |
Other
| Other | Proceedings of the 32nd IEEE Conference on Decision and Control. Part 2 (of 4) |
|---|---|
| City | San Antonio, TX, USA |
| Period | 12/15/93 → 12/17/93 |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality