Adaptive observers for unknown general nonlinear systems

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Summary

This paper addresses the nonlinear adaptive observer design for unknown general nonlinear systems with linearly parameterized neural networks whose weights are adaptively adjusted, and Lyapunov theory is used in order to guarantee stability for state estimation and NN weight errors.

Type
article
Published
2001-10-01
Cited by
24
References
23

Keywords

Headaches, Monetary economics, Business, Economics, Medicine

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