Control of uncertain systems by feedback linearization with neural networks augmentation. Part I. Controller design
The paper highlights the main steps of adaptive output feedback control for non-affine uncertain systems – both in parameters and dynamics – having a known relative degree. Given a reference model, the objective is to design a controller that forces the measured system output to track the reference...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Institute for Aerospace Research “Elie Carafoli” - INCAS
2009-09-01
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| Series: | INCAS Bulletin |
| Online Access: | http://bulletin.incas.ro/files/ioan_ursu_v1no1_full.pdf |