Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.1998.694722
Title: Adaptive output feedback control for general nonlinear systems using multilayer neural networks
Authors: Zhang, T.
Ge, S.S. 
Hang, C.C. 
Issue Date: 1998
Source: Zhang, T.,Ge, S.S.,Hang, C.C. (1998). Adaptive output feedback control for general nonlinear systems using multilayer neural networks. Proceedings of the American Control Conference 1 : 520-524. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.1998.694722
Abstract: 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. © 1998 AACC.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72466
ISBN: 0780345304
ISSN: 07431619
DOI: 10.1109/ACC.1998.694722
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