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Adaptive output feedback control for general nonlinear systems using multilayer neural networks

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3 Author(s)
Zhang, T. ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; Ge, S.S. ; Hang, C.C.

In this paper, the adaptive output feedback control problem is investigated using multilayer neural networks (MNNs) for a class of general nonlinear systems. The adaptive output feedback controller is developed based on a high-gain observer which is used to estimate the time derivatives of the system output. The Lyapunov stability of the resulting closed-loop system is guaranteed and the tracking error converges to a small neighborhood of the origin. The effectiveness of the proposed controller is illustrated through an example of composition control for a continuously stirred tank reactor (CSTR) system

Published in:

American Control Conference, 1998. Proceedings of the 1998  (Volume:1 )

Date of Conference:

21-26 Jun 1998