Adaptive control of aerospace systems using neural networks

Kevin L. Moore, D. Subbaram Naidu

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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 languageEnglish (US)
Pages (from-to)442-444
Number of pages3
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1993
EventProceedings of the 32nd Conference on Decision and Control - San Antonio, TX, USA
Duration: Dec 15 1993Dec 15 1993

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