Abstract
In this paper we describe an approach to the adaptive control of aerospace systems. The approach is based on the computed-torque method used for adaptive control of robotic manipulators. We show how a similar scheme can be developed for typical aerospace models, resulting in a computed-torque method for aerospace systems. In our strategy the plant models used in the computed-torque algorithm can be estimated using a neural network.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 442-444 |
| Number of pages | 3 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| State | Published - Dec 1 1993 |
| Event | Proceedings of the 32nd Conference on Decision and Control - San Antonio, TX, USA Duration: Dec 15 1993 → Dec 15 1993 |