Abstract
This paper contains the first experimental application of model reduction methods developed for systems represented by a Linear Fractional Transformation (LFT) on a repeated scalar uncertainty structure. These methods provide for reduction of both the state order, and the uncertainty descriptions. LFT models of a vectored-thrust flight control experiment are reduced in order to make controller synthesis feasible. Recent Linear Parameter Varying (LPV) design techniques are used to synthesize the controllers.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 871-872 |
| Number of pages | 2 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| State | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 34th IEEE Conference on Decision and Control. Part 1 (of 4) - New Orleans, LA, USA Duration: Dec 13 1995 → Dec 15 1995 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization