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An RBF neural network-based adaptive control for SISO linearisable nonlinear systems

โœ Scribed by M. Zhihong; X. H. Yu; H. R. Wu


Publisher
Springer-Verlag
Year
1998
Tongue
English
Weight
539 KB
Volume
7
Category
Article
ISSN
0941-0643

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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