In this paper, a direct adaptive fuzzy-neural output-feedback controller (DAFOC) for a class of uncertain nonlinear systems is developed under the constraint that only the system output is available for measurement. An output feedback control law and an update law are derived for on-line tuning the
โฆ LIBER โฆ
Direct neural control system: nonlinear extension of adaptive control
โ Scribed by Yuan, M.; Poo, A.N.; Hong, G.S.
- Book ID
- 114449645
- Publisher
- The Institution of Electrical Engineers
- Year
- 1995
- Tongue
- English
- Weight
- 649 KB
- Volume
- 142
- Category
- Article
- ISSN
- 1350-2379
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This paper is concerned to present a direct adaptive neural control scheme for switched nonlinear systems with unknown constant control gain. Multilayer neural networks (MNNs) are used as a tool for modeling nonlinear functions up to a small error tolerance. The adaptive updated laws have been deriv